WEBVTT - What Makes Traffic So Bad?

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<v Speaker 1>Hey, Welcome to Sign Stuff, the production of iHeartRadio More. Hey,

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<v Speaker 1>cham and today we're answering the question what really makes

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<v Speaker 1>traffic so bad? It turns out it's not careless drivers

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<v Speaker 1>or accidents or roadwork. It's something much more surprising. We're

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<v Speaker 1>going to talk to two experts on traffic engineering. We're

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<v Speaker 1>going to step us through the history of traffic, the

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<v Speaker 1>real causes of it, and what we can do to

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<v Speaker 1>make commuting easier. To hit the accelerator because we are

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<v Speaker 1>clearing the road to answer the question what really makes

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<v Speaker 1>traffic that enjoy? Hey everyone? So, like most people, I

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<v Speaker 1>hate traffic. I always feel like I'm wasting my life

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<v Speaker 1>away sitting in my car, hitching my way across the

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<v Speaker 1>highway or a busy road. And the worst part is

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<v Speaker 1>that sometimes there's no clear reason for it. You've probably

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<v Speaker 1>had the experience of sitting in traffic for a while

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<v Speaker 1>and then all of a sudden, the traffic clears up,

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<v Speaker 1>and you think was it all for nothing? What's going on? Well,

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<v Speaker 1>to find out why that happens and to answer all

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<v Speaker 1>my traffic related questions, I reached out to two traffic

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<v Speaker 1>engineering experts. The first one is doctor Maria Lauda de

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<v Speaker 1>la Monice, a professor of civil and environmental engineering at

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<v Speaker 1>the University of California at Berkeley who works at the

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<v Speaker 1>no pun intended intersection between traffic science and math. She's

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<v Speaker 1>going to tell us why these random traffic jams happen,

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<v Speaker 1>but first I wanted to know a little bit about

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<v Speaker 1>the history of traffic. So here's my conversation with doctor

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<v Speaker 1>Maria Lauda de la Monique. Well, thank you, doctor de

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<v Speaker 1>le Monique for joining us.

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<v Speaker 2>Thank you, it's a pleasure to a here.

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<v Speaker 1>Well, I kind of have to apologize for being laid.

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<v Speaker 1>I was stuck in traffic.

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<v Speaker 3>That seems to be a problem for everybody these days,

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<v Speaker 3>especially in the Bay Area where we are.

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<v Speaker 1>Actually, I'm just kidding. I work from home, so I

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<v Speaker 1>haven't had to deal with traffic in a long time.

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<v Speaker 3>I bike to avoid the traffic. I have an electric bike.

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<v Speaker 3>That's my commute.

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<v Speaker 1>Oh that's smart. Wow, at least for now, until everybody

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<v Speaker 1>gets an electric bike, Yes, then there might be bike traffic.

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<v Speaker 3>Yeah, there's still is some places in Europe. Alreadia experience

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<v Speaker 3>in traffic with bikes in the Netherlands. In Paris, it

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<v Speaker 3>was a problem for a bit.

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<v Speaker 1>Oh wow, all right, we'll get into that, but I

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<v Speaker 1>thought way we could start by asking you to tell

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<v Speaker 1>us a little bit of the history of traffic, Like

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<v Speaker 1>when did traffic become a problem for humans.

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<v Speaker 3>Well, people tend to think that traffic was born, let's say,

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<v Speaker 3>with cars, but in reality it's something that all does

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<v Speaker 3>humans and cities. So we can go as far back

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<v Speaker 3>as ancient Rome and we still have traffic and congestion.

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<v Speaker 3>There's Julius sister, even have the regulatory intervention to avoid

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<v Speaker 3>that commercial trucks or commercial cars will go on through

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<v Speaker 3>the city during daytai because they would cause congestion and

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<v Speaker 3>they would make too much noise. So it's a very

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<v Speaker 3>whole problem and we're still here trying to solve it.

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<v Speaker 1>It's oldest Roman empire, yes, yes, And then a city

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<v Speaker 1>started to grow, we also started to experience more and

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<v Speaker 1>more traffic and different type of traffic.

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<v Speaker 3>Obviously, with the advent of cars is when the problem

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<v Speaker 3>became very big because a lot of cars that are

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<v Speaker 3>in the road, and also became apparent that the road

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<v Speaker 3>cannot be shared anymore between pedestrians and cars, right where

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<v Speaker 3>before it was the case everybody was in their pedestrian, bicycle,

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<v Speaker 3>animal power vehicles, and then since the cars were there,

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<v Speaker 3>and then it became a very chronic problem. And now

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<v Speaker 3>it became a problem of everybody going to work in

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<v Speaker 3>the morning at the same time and being stuck in traffic.

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<v Speaker 2>When we built freeways.

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<v Speaker 3>In the fifties, now people didn't live anymore in the city,

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<v Speaker 3>but now they had to take the freeway to go

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<v Speaker 3>to the world, and now freeway became congested. And so

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<v Speaker 3>it's a problem that we've been dealing for a long time.

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<v Speaker 1>Who it seems like any time you try to do

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<v Speaker 1>something about it, it still manages to come back.

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<v Speaker 3>Yes, because it seems the more we make it better,

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<v Speaker 3>the more we make people want to use the cars,

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<v Speaker 3>and so instead like we build more roads and then

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<v Speaker 3>people use more cars instead of like fixing what we

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<v Speaker 3>had before.

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<v Speaker 1>And so that seems like a very human problem, is

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<v Speaker 1>it is, Well, can you take me back a little

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<v Speaker 1>bit on the history of I guess, trying to manage

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<v Speaker 1>traffic or trying to deal with traffic, Like what did

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<v Speaker 1>the Romans do?

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<v Speaker 3>So before the cars, what people were trying to do,

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<v Speaker 3>it's mostly intervened like on the human behavior. So it's

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<v Speaker 3>like forbid the use of cars during daytime, right, and

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<v Speaker 3>so you can only go in the city during nighttime

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<v Speaker 3>when there was animal power vehicles. So there may be

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<v Speaker 3>a road becomes a one way road, or you had

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<v Speaker 3>a policeman at an intersection that decides, like you know,

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<v Speaker 3>now it's animal power flow that goes through the intersection,

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<v Speaker 3>then it's pedestrian.

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<v Speaker 2>Then as whatever else.

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<v Speaker 3>As technology has gotten better and better, we're also getting

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<v Speaker 3>better and better and managing traffic. So as car came on,

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<v Speaker 3>also traffic light came on because now we were suddenly

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<v Speaker 3>able to measure traffic. And the way to measure traffic

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<v Speaker 3>at the beginning of the nineteen hundred was a man

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<v Speaker 3>standing on the side of the road and literally counting

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<v Speaker 3>car as time.

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<v Speaker 1>Passed, right, And so graduate student, I imagine.

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<v Speaker 3>At the time it was actually scientists, like there's this

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<v Speaker 3>famous picture of Bruce Greenshield as one of the fathers

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<v Speaker 3>of traffic flow theory, that's standing on the side of

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<v Speaker 3>the road with a camera and counting cars in the

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<v Speaker 3>nineteen thirties or something. And so the idea it became

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<v Speaker 3>managed traffic. The same way as we can measure traffic,

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<v Speaker 3>we place traffic lights and traffic lights allow us to

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<v Speaker 3>have a certain amount of cars per hours. And if

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<v Speaker 3>they are in the cities, you have traffic light and intersection.

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<v Speaker 3>If we are in freeway, then you're going to have

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<v Speaker 3>a traffic light at the entrance of an intersection.

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<v Speaker 2>And it becomes what is known as from metering.

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<v Speaker 3>As we've gotten better and getting data and we have

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<v Speaker 3>more information. So now we have, for example, data on

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<v Speaker 3>sensors on roadsides, or for example, we have vehicles that

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<v Speaker 3>give us information about the GPS or the phone. Then

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<v Speaker 3>we've gotten also better and managing traffic, and so now

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<v Speaker 3>you have city wide traffic lights plans, or you had

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<v Speaker 3>for example, what is variable to p limit, which I'm

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<v Speaker 3>sure everybody at some point you saw this message panel

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<v Speaker 3>on the freeway that says slow down and go at forty.

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<v Speaker 2>Miles an hour.

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<v Speaker 3>And so how we manage traffic has evolved throughout the year,

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<v Speaker 3>and it's going to evolve as we have different types

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<v Speaker 3>of measurements and different ways of estimating traffic.

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<v Speaker 1>It seems like the traffic light was a big innovation.

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<v Speaker 1>Do we know anything about the history of the traffic light?

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<v Speaker 3>So the first traffic light that I know of dates

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<v Speaker 3>back to the beginning of the nineteen hundred and I

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<v Speaker 3>think it's in Cleveland. At the beginning was exactly that,

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<v Speaker 3>like a single traffic light that would just manage traffic

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<v Speaker 3>at a single intersection. And then as things have evolved

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<v Speaker 3>nowadays we're able also to have traffic lights that are

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<v Speaker 3>synchronized and have the so called the green waves in

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<v Speaker 3>which you hit green at first traffic lights and then

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<v Speaker 3>you're able to go through all the intersections with that

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<v Speaker 3>green light and all of that.

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<v Speaker 1>I see. So that's a little bit of the history

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<v Speaker 1>of traffic science and engineering. But here's the big question,

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<v Speaker 1>why is this problem so hard to fix? Can we

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<v Speaker 1>just build wider roads? Well, it turns out there is

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<v Speaker 1>an answer to that question, and it's something that totally shocked.

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<v Speaker 1>I learned it while talking to the next expert on

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<v Speaker 1>our show today, Callin Mees. Well, thank you so much

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<v Speaker 1>for joining us, Miss mess.

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<v Speaker 4>Thanks for having me. I'm excited to be here.

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<v Speaker 1>Can you please tell U who you are and what

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<v Speaker 1>you do.

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<v Speaker 4>Sure. My name is Colin Mess and I am a

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<v Speaker 4>PhD candidate at the University of Delaware in the Civil,

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<v Speaker 4>Environmental and Construction Engineering Department. My research focuses on traffic

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<v Speaker 4>congestion and applying new methods such as artificial intelligence to

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<v Speaker 4>enhance traffic management and response to incidents.

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<v Speaker 1>Very cool, bite the start us off. He tell us

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<v Speaker 1>why is traffic so bad? Sometimes?

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<v Speaker 4>Sure, traffic congestion is bad generally as a cause of,

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<v Speaker 4>you know, at the highest level, a mismatch between supply

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<v Speaker 4>and demand. So we can't build our way out of congestion,

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<v Speaker 4>so to speak, as a phrase, you hear a lot

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<v Speaker 4>in traffic engineering, and we try to design the roads

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<v Speaker 4>in a way that we can accommodate a large part

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<v Speaker 4>of the demand we would see even during rush hour periods.

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<v Speaker 4>But we can't design the road for you know, the

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<v Speaker 4>busiest day of the year economically or feasibly. And so

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<v Speaker 4>depending on things you know that are going on, whether

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<v Speaker 4>there's a special event or an incident, or the weather

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<v Speaker 4>is really nice and people are traveling due to the season,

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<v Speaker 4>we will always inevitably have some congestion as a result

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<v Speaker 4>of the fact that we just can't build an infinitely

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<v Speaker 4>sized road.

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<v Speaker 1>Oh that's interesting. I hadn't heard of that idea before.

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<v Speaker 1>So what do you mean by economically we can't build

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<v Speaker 1>the roads beginnough.

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<v Speaker 4>On the one hand, I think the biggest concern regarding

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<v Speaker 4>that would be space, in that we we want to

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<v Speaker 4>build roads, hopefully in a way that has a minimal

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<v Speaker 4>impact on everyday life and people, that minimizes the environmental impact.

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<v Speaker 4>And so it would be nice if we had you know,

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<v Speaker 4>infinite space and could build floating roads that would really

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<v Speaker 4>minimize the impact on the local environment in the region.

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<v Speaker 4>But until we can do that, sadly, we have to

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<v Speaker 4>make a compromise in some respect to how much capacity

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<v Speaker 4>we can build into the road given the you know,

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<v Speaker 4>constraint from the land perspective and the environmental perspective.

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<v Speaker 1>Uh. It's like, even if we know that in a

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<v Speaker 1>certain road or a certain section of a city or

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<v Speaker 1>a town there's going to be two hundred cars going

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<v Speaker 1>through a peak rush hour, we don't typically design the

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<v Speaker 1>road to be able to take two hundred cars an hour. Yes, exactly.

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<v Speaker 4>We would try to get as close to that as

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<v Speaker 4>we possibly could, and in some cases we can build

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<v Speaker 4>to accommodate the expected rush hour congestion.

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<v Speaker 1>Interesting, it's like, even if we let's say, had infinite

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<v Speaker 1>land to build a twenty lane road a, it may

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<v Speaker 1>not make sense to design it so that it can

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<v Speaker 1>take peak rush hour traffic because most of the time

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<v Speaker 1>is not peak rush hour traffic.

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<v Speaker 4>Yes, exactly, And similar to how we build parking lots,

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<v Speaker 4>we try to build for the thirtieth busiest day of

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<v Speaker 4>the year, so hopefully we're encapsulating the vast majority of

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<v Speaker 4>the regular traffic on that road through a model like that.

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<v Speaker 4>But unfortunately, if we built for the you know, for

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<v Speaker 4>the one percent or busiest day of the year, we

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<v Speaker 4>likely it would not be feasible from some perspective, whether

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<v Speaker 4>that's you know, environmental due to the space constraints, or

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<v Speaker 4>maybe it's just an economic cost that would be too

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<v Speaker 4>high to be supported with the resources we have.

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<v Speaker 1>Oh, the parking lot is a really good analogy. What

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<v Speaker 1>do you mean that you might design it for the

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<v Speaker 1>thirty if you said.

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<v Speaker 4>Yeah, So if we look at the entire year, cross

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<v Speaker 4>all seasons and estimate what the demand or usage might

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<v Speaker 4>be of the road or the parking lot, a lot

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<v Speaker 4>of times the planners will pick the thirtieth busiest day

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<v Speaker 4>of the year as a good benchmark. And that's usually

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<v Speaker 4>the reason for that is because the thirtieth busiest day

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<v Speaker 4>is if you look at the pattern in traffic graph,

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<v Speaker 4>it would be where things start to really level off,

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<v Speaker 4>and then you could almost consider the twenty nine other

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<v Speaker 4>days as a rare incident or a rare case. For example,

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<v Speaker 4>by me, we have a lot of travel down to

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<v Speaker 4>the beach for during the summer. A lot of people

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<v Speaker 4>live down at the beach for three or four months

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<v Speaker 4>of the year, and that's a great example of a

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<v Speaker 4>place where we can't really design the road for just

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<v Speaker 4>those two months because the utilization outside of those few

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<v Speaker 4>months it's significantly lower, maybe eighty percent lower, as just

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<v Speaker 4>a really rough estimate, so it wouldn't make sense from

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<v Speaker 4>an investment perspective, especially if we have to divide a

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<v Speaker 4>limited amount of money across many projects throughout the state,

0:12:13.679 --> 0:12:14.920
<v Speaker 4>not just in the beach area.

0:12:15.679 --> 0:12:18.559
<v Speaker 1>Wow, that's fascinating. He just kind of blew my mind, Colin.

0:12:20.840 --> 0:12:22.640
<v Speaker 4>Yeah. You know, a lot of times you'll see, like

0:12:22.679 --> 0:12:25.440
<v Speaker 4>I know, I'll travel down a highway and it'll be

0:12:25.520 --> 0:12:28.520
<v Speaker 4>congested and I'll just see completely empty open space on

0:12:28.559 --> 0:12:30.960
<v Speaker 4>either side while I'm you know, on the road congested,

0:12:31.040 --> 0:12:32.480
<v Speaker 4>and I feel like a lot of people see that

0:12:32.520 --> 0:12:34.440
<v Speaker 4>and think, well, why didn't they just build the road

0:12:34.440 --> 0:12:37.280
<v Speaker 4>with more lanes. Yeah, I wish we could do that

0:12:37.360 --> 0:12:39.680
<v Speaker 4>every time. It would definitely save a lot of headache.

0:12:39.760 --> 0:12:44.000
<v Speaker 4>But yeah, just the real world challenges always make things

0:12:44.000 --> 0:12:45.560
<v Speaker 4>a little more difficult than expected.

0:12:46.600 --> 0:12:49.559
<v Speaker 1>It's kind of like an almost effective life.

0:12:49.880 --> 0:12:51.199
<v Speaker 4>Yeah, I would agree with that.

0:12:51.280 --> 0:12:56.719
<v Speaker 1>Yeah, Okay, this really blew my mind. What Colin you're

0:12:56.760 --> 0:12:59.560
<v Speaker 1>saying is that the real reason we have traffic jams

0:12:59.840 --> 0:13:03.320
<v Speaker 1>is because we want to have them. Yes, the general

0:13:03.320 --> 0:13:05.560
<v Speaker 1>cost of traffic is that there are more cars trying

0:13:05.559 --> 0:13:07.640
<v Speaker 1>to get through a road than the road has space for.

0:13:08.080 --> 0:13:11.000
<v Speaker 1>But then why don't we just build bigger roads? Well,

0:13:11.080 --> 0:13:14.520
<v Speaker 1>the real reason is that we choose not to. It

0:13:14.559 --> 0:13:18.359
<v Speaker 1>doesn't make sense economically to build roads for the absolute

0:13:18.480 --> 0:13:21.520
<v Speaker 1>worst traffic days of the year, because then most of

0:13:21.559 --> 0:13:25.079
<v Speaker 1>the time the roads would be mostly empty. Instead, we

0:13:25.160 --> 0:13:28.080
<v Speaker 1>make a compromise. We accept that there are going to

0:13:28.080 --> 0:13:31.120
<v Speaker 1>be traffic jams some of the time to minimize the

0:13:31.160 --> 0:13:34.920
<v Speaker 1>cost and the burden of building bigger roads. So living

0:13:34.920 --> 0:13:38.960
<v Speaker 1>with traffic is a choice. Okay, So that's kind of

0:13:38.960 --> 0:13:43.280
<v Speaker 1>the real reason traffic exists. There are sometimes too many cars,

0:13:43.520 --> 0:13:46.240
<v Speaker 1>and we choose not to build roads that can take

0:13:46.280 --> 0:13:49.200
<v Speaker 1>all those cars. But here's the thing. As annoying as

0:13:49.200 --> 0:13:51.720
<v Speaker 1>it is to send in your car in a congested road.

0:13:52.080 --> 0:13:55.559
<v Speaker 1>There is something even worse about the problem of traffic,

0:13:55.960 --> 0:13:59.320
<v Speaker 1>and it's something that we definitely can't predict, but that

0:13:59.400 --> 0:14:03.520
<v Speaker 1>AI could potentially help us solve in the future. So

0:14:03.600 --> 0:14:05.640
<v Speaker 1>when we come back, we'll talk about what that is

0:14:06.120 --> 0:14:10.000
<v Speaker 1>and something called phantom traffic jams. So don't get off

0:14:10.000 --> 0:14:26.520
<v Speaker 1>the freeway just yet. Stay with us. We'll be right back. Hey,

0:14:26.560 --> 0:14:29.960
<v Speaker 1>we'll come back. We're talking about the real reasons traffic

0:14:30.040 --> 0:14:32.520
<v Speaker 1>is bad, and so far we talked about how it's

0:14:32.560 --> 0:14:36.040
<v Speaker 1>a basic supply and demand problem. There are sometimes too

0:14:36.040 --> 0:14:38.720
<v Speaker 1>many cars and not enough road to fit them all.

0:14:38.960 --> 0:14:42.280
<v Speaker 1>But here's a shocker. Roads are usually not designed to

0:14:42.400 --> 0:14:46.120
<v Speaker 1>handle peak traffic demand. It would be too expensive and

0:14:46.200 --> 0:14:48.960
<v Speaker 1>take up too much space to make roads and highways

0:14:49.000 --> 0:14:53.040
<v Speaker 1>big enough to handle the worst case traffic scenarios. So

0:14:53.160 --> 0:14:55.680
<v Speaker 1>in a way, traffic jams are sort of built into

0:14:55.720 --> 0:14:58.800
<v Speaker 1>our society, and according to the experts we're talking to

0:14:58.680 --> 0:15:01.160
<v Speaker 1>you today, part of the is that it's hard to

0:15:01.240 --> 0:15:04.680
<v Speaker 1>even know what the worst traffic scenario is going to be.

0:15:05.360 --> 0:15:07.960
<v Speaker 1>Here's traffic science researcher Colin Meess.

0:15:10.920 --> 0:15:13.560
<v Speaker 4>Another issue there is that the roads take time to build,

0:15:13.640 --> 0:15:17.880
<v Speaker 4>and we find that travel demand patterns change very quickly

0:15:18.000 --> 0:15:20.600
<v Speaker 4>and suddenly, and so one issue would be that we

0:15:20.680 --> 0:15:23.760
<v Speaker 4>might design the road for the geek rush hour at

0:15:23.760 --> 0:15:26.240
<v Speaker 4>the time of building, and we'll project out based on

0:15:26.440 --> 0:15:29.160
<v Speaker 4>how we see the population changing and try to get

0:15:29.160 --> 0:15:32.160
<v Speaker 4>it as close as possible. But some road projects might

0:15:32.200 --> 0:15:35.240
<v Speaker 4>take twenty years to build. For example, there's a road

0:15:35.280 --> 0:15:38.880
<v Speaker 4>near me called the four seventy six where they basically

0:15:38.960 --> 0:15:41.400
<v Speaker 4>ran into that issue. It took about twenty years to

0:15:41.400 --> 0:15:44.320
<v Speaker 4>build this project, and by the time the project was built,

0:15:44.400 --> 0:15:47.360
<v Speaker 4>the population had increased to a point where the road

0:15:47.480 --> 0:15:52.320
<v Speaker 4>was instantly congested. It's almost overnight, No, it's open to

0:15:52.360 --> 0:15:55.880
<v Speaker 4>the public, and there's already a congestion on that road

0:15:56.000 --> 0:15:56.640
<v Speaker 4>from day one.

0:15:56.960 --> 0:16:00.240
<v Speaker 1>Oh wow, it was sort of like a it was

0:16:00.280 --> 0:16:03.600
<v Speaker 1>obsolete from the get gode that it was opened exactly.

0:16:03.680 --> 0:16:05.920
<v Speaker 4>And I'm sure the people working on that project, you know,

0:16:06.000 --> 0:16:09.400
<v Speaker 4>projected out thirty years, use the best population models they

0:16:09.440 --> 0:16:12.480
<v Speaker 4>could to try to really estimate how many lanes they

0:16:12.480 --> 0:16:14.760
<v Speaker 4>could build or how many lanes they should build, and

0:16:14.800 --> 0:16:17.840
<v Speaker 4>what the throughput of that road should be. But unfortunately

0:16:18.000 --> 0:16:20.720
<v Speaker 4>the models are not always correct, especially when it comes

0:16:20.720 --> 0:16:22.560
<v Speaker 4>to modeling human traffic.

0:16:23.240 --> 0:16:26.520
<v Speaker 1>Wow, Yeah, sometimes we don't know how much traffic there's

0:16:26.560 --> 0:16:28.280
<v Speaker 1>going to be in the future exactly.

0:16:28.480 --> 0:16:30.800
<v Speaker 4>So in the case of that road, that road was

0:16:30.880 --> 0:16:35.040
<v Speaker 4>built to help specifically commuters coming from a residential area

0:16:35.080 --> 0:16:37.200
<v Speaker 4>that was about forty five minutes away from the central

0:16:37.240 --> 0:16:40.480
<v Speaker 4>business district where they worked, and because the traffic was

0:16:40.520 --> 0:16:43.600
<v Speaker 4>so bad, a lot of people over time changed how

0:16:43.600 --> 0:16:45.840
<v Speaker 4>they got to work, whether that was using maybe some

0:16:46.000 --> 0:16:48.840
<v Speaker 4>kind of carpooling system, or maybe they were using the

0:16:48.880 --> 0:16:52.400
<v Speaker 4>public transit like the metro or trains to get there,

0:16:52.680 --> 0:16:55.080
<v Speaker 4>or they move closer to the city and use they

0:16:55.120 --> 0:16:57.520
<v Speaker 4>bike or something like that. And then when that new

0:16:57.600 --> 0:17:01.440
<v Speaker 4>road opens up, word spreads that hey, this new route

0:17:01.480 --> 0:17:03.320
<v Speaker 4>is great, you can take your car into the city

0:17:03.360 --> 0:17:06.440
<v Speaker 4>again with no problem, and very quickly people will then

0:17:06.560 --> 0:17:09.959
<v Speaker 4>shift their travel patterns from these alternate modes that they

0:17:10.000 --> 0:17:13.200
<v Speaker 4>may have been using. And so when that option becomes available,

0:17:13.240 --> 0:17:16.480
<v Speaker 4>you can see a shift in demand that may not

0:17:16.560 --> 0:17:19.200
<v Speaker 4>have been able to be predicted just looking at things

0:17:19.320 --> 0:17:23.840
<v Speaker 4>like population change and the amount of vehicles being registered

0:17:23.960 --> 0:17:24.400
<v Speaker 4>in area.

0:17:24.880 --> 0:17:28.120
<v Speaker 1>WHOA, it's super dynamic exactly.

0:17:28.160 --> 0:17:30.760
<v Speaker 4>That's a great way to say accounting for human behavior

0:17:30.800 --> 0:17:32.359
<v Speaker 4>can be so difficult.

0:17:32.040 --> 0:17:34.360
<v Speaker 1>Right, That's kind of the problem is trying to predict

0:17:34.400 --> 0:17:36.520
<v Speaker 1>what people are going to do exactly.

0:17:36.760 --> 0:17:39.360
<v Speaker 4>I feel like, well, we will always have this challenge

0:17:39.359 --> 0:17:40.520
<v Speaker 4>to some extent.

0:17:42.720 --> 0:17:46.119
<v Speaker 1>So traffic seems almost like a fact of life. But

0:17:46.359 --> 0:17:49.480
<v Speaker 1>here's the thing. Traffic by itself is not considered the

0:17:49.680 --> 0:17:52.800
<v Speaker 1>real problem. Most people don't mind a little bit of traffic.

0:17:53.080 --> 0:17:56.440
<v Speaker 1>The problem, according to our experts, is something else.

0:17:57.880 --> 0:18:00.480
<v Speaker 4>The interesting thing about congestion to me is that I

0:18:00.480 --> 0:18:03.800
<v Speaker 4>feel like everybody expects congestion, right Like, if you're traveling

0:18:04.119 --> 0:18:06.720
<v Speaker 4>a route during rush hour, you have an expectation that

0:18:06.760 --> 0:18:09.080
<v Speaker 4>you will be sitting in some level of congestion. But

0:18:09.119 --> 0:18:13.280
<v Speaker 4>I think what really frustrates people for good reason is uncertainty.

0:18:13.359 --> 0:18:15.399
<v Speaker 4>And I think if you asked a lot of people,

0:18:15.920 --> 0:18:18.560
<v Speaker 4>would they rather have a trip that they know to

0:18:18.640 --> 0:18:21.480
<v Speaker 4>work their commute's always going to be around thirty five minutes,

0:18:21.520 --> 0:18:24.560
<v Speaker 4>give or take, or some days it's twenty minutes and

0:18:24.600 --> 0:18:27.080
<v Speaker 4>some days it's fifty five. I think they would almost

0:18:27.119 --> 0:18:30.119
<v Speaker 4>always rather have the certainty that they can plan around

0:18:30.200 --> 0:18:32.240
<v Speaker 4>that I know that I'm going to my route's going

0:18:32.240 --> 0:18:34.240
<v Speaker 4>to take thirty five minutes, even if it's a little

0:18:34.280 --> 0:18:36.800
<v Speaker 4>longer than it could take. As long as it's consistent.

0:18:36.920 --> 0:18:39.560
<v Speaker 4>That's really important for people to be able to, you know,

0:18:39.640 --> 0:18:42.080
<v Speaker 4>plan and go about their lives and plan their travel.

0:18:42.440 --> 0:18:47.040
<v Speaker 1>Oh, that's another super fascinating point. The problem with traffic

0:18:47.320 --> 0:18:50.760
<v Speaker 1>is not that there is traffic, because people are to

0:18:50.840 --> 0:18:53.960
<v Speaker 1>some degree okay with planning around it. It's the uncertainty

0:18:54.040 --> 0:18:55.440
<v Speaker 1>that's really frustrating.

0:18:55.640 --> 0:18:58.080
<v Speaker 4>Yeah, I would say from the people that I've talked

0:18:58.080 --> 0:19:01.359
<v Speaker 4>to and just my lived experience, that's what frustrates the

0:19:01.400 --> 0:19:03.760
<v Speaker 4>majority of people, in myself the most. I remember when

0:19:03.800 --> 0:19:06.800
<v Speaker 4>I used to commute into the city. On a good day,

0:19:07.000 --> 0:19:08.960
<v Speaker 4>it would take thirty five minutes to get to work,

0:19:09.000 --> 0:19:10.720
<v Speaker 4>but on a bad day, it could take an hour

0:19:10.760 --> 0:19:12.480
<v Speaker 4>and a half. And you know, when you have it,

0:19:12.600 --> 0:19:15.760
<v Speaker 4>there's an expectation that I'm arriving at a certain time,

0:19:15.840 --> 0:19:18.359
<v Speaker 4>and so when the travel time is that unreliable, it

0:19:18.359 --> 0:19:21.520
<v Speaker 4>becomes unfortunate because I basically have to plan for the

0:19:21.560 --> 0:19:24.159
<v Speaker 4>worst case scenario, and then I may arrive, you know,

0:19:24.200 --> 0:19:27.240
<v Speaker 4>an hour earlier than I needed. And that's you know,

0:19:27.400 --> 0:19:30.000
<v Speaker 4>nobody wants to arrive to work an hour earlier if

0:19:30.000 --> 0:19:32.920
<v Speaker 4>they don't need to, So I feel like that is

0:19:32.960 --> 0:19:35.960
<v Speaker 4>one of the most frustrating pain points of traffic congestion.

0:19:36.240 --> 0:19:39.359
<v Speaker 1>Right right, or the opposite where you know, you plan

0:19:39.520 --> 0:19:42.840
<v Speaker 1>for the average, but then you're late because there's more

0:19:42.880 --> 0:19:43.520
<v Speaker 1>traffic than.

0:19:43.480 --> 0:19:47.000
<v Speaker 4>Usual exactly and maybe nine at a ten times you

0:19:47.080 --> 0:19:49.400
<v Speaker 4>leave with the expectation that it's going to take thirty

0:19:49.400 --> 0:19:51.320
<v Speaker 4>five minutes, and nine out of ten times it does,

0:19:51.440 --> 0:19:54.320
<v Speaker 4>but one out of ten times it's three times as long.

0:19:54.359 --> 0:19:56.439
<v Speaker 4>And I mean, you can only explain that to your

0:19:56.480 --> 0:20:00.560
<v Speaker 4>boss so many times before there's no you know, excuse,

0:20:00.640 --> 0:20:02.600
<v Speaker 4>and you just have to leave earlier and plan for

0:20:02.640 --> 0:20:04.320
<v Speaker 4>the worst case, which is unfortunate.

0:20:05.520 --> 0:20:08.239
<v Speaker 1>Okay, I guess then the question is what causes that

0:20:08.320 --> 0:20:10.440
<v Speaker 1>uncertainty in traffic congestion.

0:20:10.800 --> 0:20:13.959
<v Speaker 4>So I think traffic incidents are one of the biggest

0:20:14.040 --> 0:20:18.640
<v Speaker 4>drivers of cong unexpected congestion. And by a traffic incident,

0:20:18.720 --> 0:20:21.119
<v Speaker 4>in my line of work, we call them non recurrent events.

0:20:21.119 --> 0:20:24.159
<v Speaker 4>So we would call like rush hour recurring traffic, or

0:20:24.240 --> 0:20:27.200
<v Speaker 4>like a seasonal change due to like we talked about

0:20:27.200 --> 0:20:29.160
<v Speaker 4>people going down to the beach, that would be something

0:20:29.160 --> 0:20:31.840
<v Speaker 4>that you could call recurrent traffic because we expect it,

0:20:31.880 --> 0:20:33.840
<v Speaker 4>we can plan for it, and we kind of know

0:20:33.920 --> 0:20:36.679
<v Speaker 4>it's happening. But with an incident we would call that

0:20:36.800 --> 0:20:40.600
<v Speaker 4>non recurring congestion, and that could be anything from unexpected

0:20:40.600 --> 0:20:44.280
<v Speaker 4>inclement weather that reduces visibility and overall would lower the

0:20:44.320 --> 0:20:47.480
<v Speaker 4>average speed traveled on the road, which would then effectively

0:20:47.520 --> 0:20:51.600
<v Speaker 4>lower our capacity temporarily. It could also be, of course,

0:20:51.640 --> 0:20:54.720
<v Speaker 4>things like a traffic accident or a work zone where

0:20:54.920 --> 0:20:58.200
<v Speaker 4>the capacity is essentially temporarily altered. So a vehicle gets

0:20:58.240 --> 0:21:00.359
<v Speaker 4>in an accident and we need time for that vehicle

0:21:00.400 --> 0:21:02.920
<v Speaker 4>to get moved out of the lane that it's blocking.

0:21:03.520 --> 0:21:06.280
<v Speaker 4>And while that's happening, say it's a three lane road

0:21:06.359 --> 0:21:09.280
<v Speaker 4>and one lane's blocked, we're effectively reducing our capacity by

0:21:09.359 --> 0:21:12.320
<v Speaker 4>at least thirty three percent. We can't really plan for

0:21:12.359 --> 0:21:15.879
<v Speaker 4>an unexpected incident, right, These are things where we can't

0:21:15.880 --> 0:21:17.879
<v Speaker 4>plan around them and prevent them.

0:21:18.000 --> 0:21:20.560
<v Speaker 1>I see. It's sort of like there's two sources of

0:21:20.680 --> 0:21:25.440
<v Speaker 1>traffic or congestion, Like there's a base level of traffic

0:21:25.720 --> 0:21:29.720
<v Speaker 1>that's just due to the like you said, the recurring causes,

0:21:30.000 --> 0:21:33.120
<v Speaker 1>which are you know, just not enough supply to meet.

0:21:32.960 --> 0:21:34.320
<v Speaker 4>The demand exactly.

0:21:34.400 --> 0:21:34.600
<v Speaker 3>Yeah.

0:21:34.800 --> 0:21:36.159
<v Speaker 4>I think that's a good way to think about it,

0:21:36.200 --> 0:21:39.880
<v Speaker 4>almost as like two different types of congestion, two distinct

0:21:39.880 --> 0:21:42.879
<v Speaker 4>different types and the non recurring congestion I feel like

0:21:42.960 --> 0:21:45.840
<v Speaker 4>is the most frustrating for people because it really does

0:21:45.920 --> 0:21:49.720
<v Speaker 4>play into the travel time reliability. So you know, it

0:21:49.800 --> 0:21:52.679
<v Speaker 4>really impacts reliability in a way that you're just not

0:21:52.920 --> 0:21:53.880
<v Speaker 4>expecting at all.

0:21:55.400 --> 0:21:58.360
<v Speaker 1>Okay, so there's general traffic just from having too many

0:21:58.400 --> 0:22:00.840
<v Speaker 1>cars in the road, but then that you can have

0:22:01.040 --> 0:22:05.320
<v Speaker 1>extra unexpected traffic because of accidents or cars breaking down,

0:22:05.440 --> 0:22:09.960
<v Speaker 1>or construction or weather. Those can be frustrating, but maybe

0:22:10.040 --> 0:22:13.000
<v Speaker 1>not as frustrating as the congestion that someplace seems to

0:22:13.040 --> 0:22:15.720
<v Speaker 1>happen for no reason at all. You know, when there's

0:22:15.760 --> 0:22:18.480
<v Speaker 1>a big slowdown but there isn't an accident or a

0:22:18.600 --> 0:22:21.679
<v Speaker 1>car broken down, or whether someplace cars just seem to

0:22:21.960 --> 0:22:25.480
<v Speaker 1>jam up, and that is actually a well studied phenomenon

0:22:25.520 --> 0:22:32.640
<v Speaker 1>in traffic science called phantom traffic. To explain this, here's

0:22:32.680 --> 0:22:34.520
<v Speaker 1>doctor Maria Lauda di la Monarky.

0:22:37.400 --> 0:22:39.640
<v Speaker 2>For me, it's much more interesting is what we call

0:22:39.760 --> 0:22:41.080
<v Speaker 2>phantom traffic jams.

0:22:41.520 --> 0:22:44.680
<v Speaker 1>Phantom traffic jams, yes, like a ghost like.

0:22:44.720 --> 0:22:47.200
<v Speaker 2>Ghosts, because they appear out of nowhere.

0:22:47.800 --> 0:22:50.560
<v Speaker 3>I'm sure everybody that is driven in the freeway have

0:22:50.840 --> 0:22:53.520
<v Speaker 3>lived this. At some points, you're stuck in traffic, and

0:22:53.600 --> 0:22:58.680
<v Speaker 3>you start accelerating and breaking, accelerating and breaking constantly, and

0:22:58.800 --> 0:23:01.360
<v Speaker 3>an all a sudden we are out of it and

0:23:01.840 --> 0:23:05.840
<v Speaker 3>there's nothing inside that could have caused us. There's no accident,

0:23:06.440 --> 0:23:10.919
<v Speaker 3>there's no worksite constructions, not even run shower right, And

0:23:11.000 --> 0:23:14.720
<v Speaker 3>this happened just because we assume intend to get distracted. Well,

0:23:14.880 --> 0:23:17.560
<v Speaker 3>we're driving, and then all of a sudden we realized

0:23:17.600 --> 0:23:19.960
<v Speaker 3>that OOPS were too close to the Kara had, so

0:23:20.119 --> 0:23:22.879
<v Speaker 3>we slightly it up on the brake, and that creates

0:23:22.880 --> 0:23:25.919
<v Speaker 3>a ripple effect that fifteen minutes later, someone else is

0:23:25.960 --> 0:23:29.439
<v Speaker 3>crossing the same freeway and alives at that point is

0:23:29.440 --> 0:23:31.520
<v Speaker 3>gonna be stuck in stop and go.

0:23:31.680 --> 0:23:35.080
<v Speaker 1>Traffic fifteen minutes later, even up.

0:23:35.000 --> 0:23:36.760
<v Speaker 2>To fifteen it can be even longer than that.

0:23:36.880 --> 0:23:41.760
<v Speaker 1>Yes, whoa one simple distraction I got a text message

0:23:42.119 --> 0:23:45.680
<v Speaker 1>or I'm scrolling through Instagram and instead of paying attention

0:23:45.880 --> 0:23:48.480
<v Speaker 1>can ruin someone today twenty minutes later.

0:23:48.920 --> 0:23:51.560
<v Speaker 3>Yes, we call it either stopping away more fun on

0:23:51.640 --> 0:23:54.639
<v Speaker 3>traffic jam because they are not caused by any physical rism,

0:23:54.720 --> 0:23:57.040
<v Speaker 3>and there's no physical rism for them to appear, not

0:23:57.119 --> 0:23:58.840
<v Speaker 3>physical obstacle.

0:23:58.320 --> 0:24:00.720
<v Speaker 1>A list in the road, I see, So it's just

0:24:00.960 --> 0:24:06.480
<v Speaker 1>human sloppiness. Yes, let's say traffic gets flowing smoothly. What's

0:24:06.520 --> 0:24:08.720
<v Speaker 1>going to cause it to suddenly not be smooth?

0:24:09.119 --> 0:24:12.000
<v Speaker 3>It's as simple as one driver slightly tapping on the brake.

0:24:12.080 --> 0:24:14.840
<v Speaker 3>He taps on the brake because for whatever reason, and

0:24:14.920 --> 0:24:17.439
<v Speaker 3>let's say it sees that is too close with the

0:24:17.480 --> 0:24:19.840
<v Speaker 3>car ahad, But it can simply be just not come

0:24:19.880 --> 0:24:22.280
<v Speaker 3>from the speed is going, so slightly up on the

0:24:22.320 --> 0:24:26.000
<v Speaker 3>brakes and then like the driver slightly tapping on the

0:24:26.040 --> 0:24:31.160
<v Speaker 3>brake creates basically a little disturbance, and that disturbance can templify.

0:24:31.280 --> 0:24:34.280
<v Speaker 3>That means that the driver behind the first driver is

0:24:34.280 --> 0:24:36.680
<v Speaker 3>gonna have to slightly up on the brake a bit more.

0:24:37.080 --> 0:24:39.600
<v Speaker 3>The third one is gonna tap on the brake harder

0:24:39.640 --> 0:24:42.640
<v Speaker 3>and harder, and harder and harder, until the last one

0:24:42.960 --> 0:24:46.560
<v Speaker 3>is gonna have to basically stop, almost stop or brake

0:24:46.680 --> 0:24:50.880
<v Speaker 3>so hard that the car stopped or you end up stopping,

0:24:51.080 --> 0:24:54.080
<v Speaker 3>and that basically creates the stopping.

0:24:56.000 --> 0:24:58.960
<v Speaker 1>Why does it get worth each time because it's a delay.

0:24:59.400 --> 0:25:03.000
<v Speaker 2>Because there's a delay, there's the reaction time of the drivers.

0:25:03.040 --> 0:25:06.040
<v Speaker 3>There's delay that comes from the kra had to a

0:25:06.119 --> 0:25:09.439
<v Speaker 3>car behind, So by the time you realize that the

0:25:09.480 --> 0:25:12.920
<v Speaker 3>kara had break, you have to break as well, and

0:25:13.200 --> 0:25:15.400
<v Speaker 3>you're still going in the speed of before, so now

0:25:15.400 --> 0:25:18.240
<v Speaker 3>you have to break a bit harder respect the car had.

0:25:18.680 --> 0:25:22.800
<v Speaker 1>Oh it's no balls, it's no balls exactly, yes, And

0:25:22.960 --> 0:25:24.880
<v Speaker 1>is it also the same for accelerating.

0:25:25.160 --> 0:25:27.480
<v Speaker 3>It's the same with accelerating, like if you try to

0:25:27.520 --> 0:25:30.280
<v Speaker 3>catch up with the person in front of you. So

0:25:30.320 --> 0:25:32.920
<v Speaker 3>this is what happened in the phantom traffic jam, right,

0:25:32.960 --> 0:25:35.920
<v Speaker 3>So you go into this period of breaking where everybody

0:25:35.960 --> 0:25:38.400
<v Speaker 3>breaks and the last vehicle has to break the hardest.

0:25:38.680 --> 0:25:41.320
<v Speaker 3>But then everybody tries to catch up with the vehicle

0:25:41.400 --> 0:25:44.080
<v Speaker 3>in front of it. So everybody accelerate, accelerate, and the

0:25:44.160 --> 0:25:46.720
<v Speaker 3>last vehicle acces accelerate the most because it is to

0:25:46.760 --> 0:25:51.360
<v Speaker 3>catch up to the previous vehicle, which is counterintuitive from

0:25:51.400 --> 0:25:54.159
<v Speaker 3>what you're supposed to do. You're supposed to like just

0:25:54.640 --> 0:25:57.399
<v Speaker 3>stay at your constant speed and if it's safe to

0:25:57.440 --> 0:25:57.760
<v Speaker 3>do so.

0:25:59.280 --> 0:26:04.919
<v Speaker 1>It just low everybody down, yes or no, good exactly exactly.

0:26:05.080 --> 0:26:07.960
<v Speaker 1>It's getting distracted or it's just human reaction time.

0:26:08.160 --> 0:26:11.080
<v Speaker 2>It's a mike, sure of both. Sometimes it's because you're distracted.

0:26:11.160 --> 0:26:13.359
<v Speaker 2>Sometimes it's just utilized.

0:26:12.880 --> 0:26:15.600
<v Speaker 1>Too late makes me think we should just let the

0:26:15.720 --> 0:26:20.360
<v Speaker 1>robots drive. Everyone should let the robot car drive. This

0:26:20.400 --> 0:26:23.000
<v Speaker 1>brings us to the next big question about all of this.

0:26:24.040 --> 0:26:28.320
<v Speaker 1>Could robots or AI solve the traffic problem? What if

0:26:28.320 --> 0:26:31.119
<v Speaker 1>everyone drove self driving cars with that get rid of

0:26:31.200 --> 0:26:33.679
<v Speaker 1>traffic jams? Or what if we put an AI in

0:26:33.800 --> 0:26:36.720
<v Speaker 1>charge of our traffic light system? Would that create a

0:26:36.920 --> 0:26:40.919
<v Speaker 1>perfect road system. When we come back, I'll ast car

0:26:41.040 --> 0:26:43.960
<v Speaker 1>experts all these questions and we'll see if it puts

0:26:43.960 --> 0:26:46.880
<v Speaker 1>them in a jam. So stay with us and we'll

0:26:46.920 --> 0:27:03.600
<v Speaker 1>be right back. Hey, welcome back. We're talking about the

0:27:03.680 --> 0:27:06.800
<v Speaker 1>science of traffic, and so far we've talked about what

0:27:06.920 --> 0:27:10.359
<v Speaker 1>really causes traffic and about how the real problem with

0:27:10.440 --> 0:27:13.600
<v Speaker 1>it is the uncertainty of it. We also talked about

0:27:13.600 --> 0:27:16.720
<v Speaker 1>something called phantom traffic, which is a big source of

0:27:16.920 --> 0:27:20.600
<v Speaker 1>unexpected congestion in our roads. Now the question is what

0:27:20.640 --> 0:27:23.679
<v Speaker 1>can we do about all this uncertainty. What are ways

0:27:23.840 --> 0:27:27.000
<v Speaker 1>we can make traffic or tolerable. As it turns out,

0:27:27.080 --> 0:27:29.360
<v Speaker 1>one of our experts today has been at the head

0:27:29.400 --> 0:27:32.000
<v Speaker 1>of a project to use robots to make the flow

0:27:32.040 --> 0:27:36.439
<v Speaker 1>of cars more efficient. Here's Professor Mardy allowed a dile monarking.

0:27:41.000 --> 0:27:46.480
<v Speaker 1>So the idea is that you planned robot cars along traffic, right, yes,

0:27:46.600 --> 0:27:50.040
<v Speaker 1>and somehow they're able to make things better. Can you

0:27:50.080 --> 0:27:51.160
<v Speaker 1>explain that idea a little more.

0:27:51.240 --> 0:27:54.000
<v Speaker 3>Yeah, So this is what we actually do in my live.

0:27:54.080 --> 0:27:57.160
<v Speaker 3>So we try to exploit vehicles of technology to get

0:27:57.240 --> 0:28:00.320
<v Speaker 3>transportation better for everybody and not just for the owner

0:28:00.400 --> 0:28:03.120
<v Speaker 3>of the self driving car. And so the idea is

0:28:03.240 --> 0:28:07.320
<v Speaker 3>that when we're talking, for example, about phantom traffic jams there,

0:28:07.400 --> 0:28:11.119
<v Speaker 3>it happens because we get distracted. So if we instead

0:28:11.160 --> 0:28:13.800
<v Speaker 3>of we assum and getting distructed, we have a self

0:28:13.880 --> 0:28:17.399
<v Speaker 3>driving car, that self driving car doesn't get distracted and

0:28:17.440 --> 0:28:19.919
<v Speaker 3>so doesn't have to slightly tap on the brake. And

0:28:19.960 --> 0:28:22.119
<v Speaker 3>this is in the extreme case where everybody has a

0:28:22.119 --> 0:28:25.159
<v Speaker 3>self driving car, but even the mixed case where we

0:28:25.240 --> 0:28:28.400
<v Speaker 3>have I don't know, five percent self driving cars and

0:28:28.880 --> 0:28:33.000
<v Speaker 3>ninety five percent humans, we can insert those self crime

0:28:33.080 --> 0:28:36.480
<v Speaker 3>car or smart cars anyway in the midst of the humans,

0:28:36.800 --> 0:28:40.480
<v Speaker 3>and what they would do is simply dissipate or smooth

0:28:40.520 --> 0:28:44.160
<v Speaker 3>out traffic so that the disturbance caused by that slight

0:28:44.320 --> 0:28:47.800
<v Speaker 3>up on the brake doesn't amplify it throughout the freeway.

0:28:48.800 --> 0:28:52.479
<v Speaker 1>So then if there's a wave of breaking, having an

0:28:52.520 --> 0:28:56.280
<v Speaker 1>automated car there to not break suddenly can fix it.

0:28:56.800 --> 0:28:57.040
<v Speaker 4>Yeah.

0:28:57.080 --> 0:29:00.280
<v Speaker 3>So the idea there is basically you look at the

0:29:00.360 --> 0:29:04.480
<v Speaker 3>overall traffic. You estimate what would be the best speed

0:29:04.560 --> 0:29:07.840
<v Speaker 3>for that amount of traffic for everybody to go, let's say,

0:29:07.880 --> 0:29:10.960
<v Speaker 3>at a constant speed and not have any breakdown, not

0:29:11.040 --> 0:29:14.120
<v Speaker 3>having any traffic jam. And then you tell this to

0:29:14.440 --> 0:29:18.360
<v Speaker 3>whatever smart vehicle you have there, and basically the goal

0:29:18.400 --> 0:29:21.920
<v Speaker 3>of that vehicle will try is to make sure that

0:29:22.000 --> 0:29:25.280
<v Speaker 3>he does not overreact to what other people are doing.

0:29:25.360 --> 0:29:27.520
<v Speaker 3>So he's not gonna catch up with the vehicle in

0:29:27.560 --> 0:29:30.240
<v Speaker 3>front of it. His skin is gonna keep on going

0:29:30.280 --> 0:29:33.920
<v Speaker 3>at that speed that the vehicle assumed to be the best.

0:29:33.960 --> 0:29:39.040
<v Speaker 3>One kind of try and keep everybody at a constant speed.

0:29:39.680 --> 0:29:42.600
<v Speaker 3>Oh I see, And so then all of a sudden,

0:29:42.760 --> 0:29:46.800
<v Speaker 3>fifteen minutes later, you don't have anymore these huge traffic jams.

0:29:47.120 --> 0:29:50.840
<v Speaker 3>And we did this both in close courts with one

0:29:51.040 --> 0:29:53.880
<v Speaker 3>ab and twenty human drivers, but we did this also

0:29:54.200 --> 0:29:57.760
<v Speaker 3>in freeway. So we had the largest ever experiment in

0:29:57.800 --> 0:30:01.000
<v Speaker 3>which we had one hundred smart cars Floyd and rush hour.

0:30:01.480 --> 0:30:04.040
<v Speaker 3>This was done in Tennessee on nine twenty four. And

0:30:04.120 --> 0:30:06.800
<v Speaker 3>the idea was exactly that can we tell those one

0:30:06.840 --> 0:30:09.880
<v Speaker 3>hundred vehicles to be like a pacer, like going the road,

0:30:10.160 --> 0:30:13.080
<v Speaker 3>maintain a certain speed that we will give it given

0:30:13.080 --> 0:30:15.680
<v Speaker 3>the current traffic condition, and see if they can smooth

0:30:15.680 --> 0:30:18.040
<v Speaker 3>out traffic or at least avoid the creation.

0:30:17.880 --> 0:30:23.240
<v Speaker 1>Of like plant some perfect drivers. Kind of yes, and

0:30:23.320 --> 0:30:23.880
<v Speaker 1>it worked.

0:30:24.200 --> 0:30:28.200
<v Speaker 3>Yeah, it showed that we can with a reasonable penetration rate.

0:30:28.280 --> 0:30:30.200
<v Speaker 3>So then does need to be that big, so it

0:30:30.240 --> 0:30:33.360
<v Speaker 3>can be like up to five percent. You can smooth

0:30:33.360 --> 0:30:36.120
<v Speaker 3>out traffic. And the other thing that you can do,

0:30:36.160 --> 0:30:40.360
<v Speaker 3>which is really cool, it's also reduced energy footprint of traffic.

0:30:40.040 --> 0:30:42.760
<v Speaker 2>Because there's phantom traffic jams.

0:30:42.760 --> 0:30:46.360
<v Speaker 3>What they do is you're currently accelerating and braking, so

0:30:46.440 --> 0:30:49.479
<v Speaker 3>that is what caused the highest farce consumption on your

0:30:49.560 --> 0:30:52.600
<v Speaker 3>vehicle or let's use an electric vehicle, so that caust

0:30:52.640 --> 0:30:56.120
<v Speaker 3>also the highest pollution. And so if you smooth out traffic,

0:30:56.240 --> 0:31:00.000
<v Speaker 3>you're able also to reduce this behavior and so reduce

0:31:00.040 --> 0:31:02.000
<v Speaker 3>U summation caused by transportation.

0:31:02.640 --> 0:31:05.440
<v Speaker 1>I see, well that's fascinating. So what would it take

0:31:05.480 --> 0:31:07.920
<v Speaker 1>to do that, Like the city would have to buy

0:31:08.000 --> 0:31:11.000
<v Speaker 1>some automated cars and for programming, or some people would

0:31:11.000 --> 0:31:13.000
<v Speaker 1>have to volunteer too, like I want to be a

0:31:13.040 --> 0:31:13.640
<v Speaker 1>pacer card.

0:31:13.960 --> 0:31:16.600
<v Speaker 3>I think it's more the second, Like, I think you'll

0:31:16.680 --> 0:31:20.280
<v Speaker 3>need to have some people that are willing to offer,

0:31:20.520 --> 0:31:22.480
<v Speaker 3>like their vehicles, in.

0:31:22.480 --> 0:31:23.280
<v Speaker 2>Order to do this.

0:31:23.840 --> 0:31:26.480
<v Speaker 3>Oh yeah, there are different ways to do this. It

0:31:26.560 --> 0:31:29.480
<v Speaker 3>can be incentive, or it can be simply volunteers, or

0:31:29.480 --> 0:31:32.960
<v Speaker 3>it can be simply some good samaritan sides that they

0:31:32.960 --> 0:31:35.160
<v Speaker 3>want to make life better for everybody else.

0:31:35.480 --> 0:31:38.040
<v Speaker 1>Interesting, it's interesting that you can put robots to kind

0:31:38.040 --> 0:31:41.160
<v Speaker 1>of guide people to behave better Be a car that

0:31:41.200 --> 0:31:44.800
<v Speaker 1>doesn't make the common human mistake yes, overreacting.

0:31:45.160 --> 0:31:47.400
<v Speaker 3>Yes, And also you don't want this car to we

0:31:47.440 --> 0:31:50.080
<v Speaker 3>have two different than in humans, because otherwise, if you

0:31:50.120 --> 0:31:53.719
<v Speaker 3>see some car in the road that behaves fundamentally different

0:31:53.800 --> 0:31:56.520
<v Speaker 3>and how you would expect, then you get scared while

0:31:56.520 --> 0:31:59.479
<v Speaker 3>you're driving, and then then it comes unsafe. So you

0:31:59.520 --> 0:32:03.000
<v Speaker 3>want to have something that does this without the other

0:32:03.240 --> 0:32:06.479
<v Speaker 3>human driving surrounding realizing that is doing this.

0:32:06.840 --> 0:32:07.240
<v Speaker 1>I see.

0:32:07.280 --> 0:32:09.080
<v Speaker 2>So that's the siddle thing to that.

0:32:09.480 --> 0:32:13.840
<v Speaker 1>Okay, well that's fascinating. Okay, So that's one way to

0:32:13.880 --> 0:32:17.160
<v Speaker 1>make traffic flow more efficiently and reduce uncertainty. You can

0:32:17.200 --> 0:32:20.720
<v Speaker 1>have self driving cars sprinkled throughout that talk to each

0:32:20.760 --> 0:32:24.440
<v Speaker 1>other and coordinate to basically hurt everyone along and not

0:32:24.640 --> 0:32:29.000
<v Speaker 1>overreact or get distracted to break those phantom traffic waves.

0:32:29.400 --> 0:32:32.719
<v Speaker 1>Another idea to improve traffic is to basically let computers

0:32:33.560 --> 0:32:36.560
<v Speaker 1>take control of everything. Let's say a car breaks down

0:32:36.560 --> 0:32:38.400
<v Speaker 1>in the middle of a freeway, or if there's a

0:32:38.440 --> 0:32:41.719
<v Speaker 1>car accident that closes down the lane. A central AI

0:32:42.120 --> 0:32:45.120
<v Speaker 1>could take real time data from traffic sensors on the

0:32:45.200 --> 0:32:47.880
<v Speaker 1>road and predict what would be the best way to

0:32:47.960 --> 0:32:52.120
<v Speaker 1>reduce the impact of that unexpected incident. Then that AI

0:32:52.200 --> 0:32:55.280
<v Speaker 1>could tell people's Google Maps or ways where to go,

0:32:55.640 --> 0:32:57.960
<v Speaker 1>and it could change the pattern of traffic lights at

0:32:58.040 --> 0:33:02.800
<v Speaker 1>intersections to optimize flow of cars. Here's how traffic engineer

0:33:02.880 --> 0:33:08.120
<v Speaker 1>Colin Mees puts it. Okay, so let me see if

0:33:08.120 --> 0:33:12.240
<v Speaker 1>I can paint the perfect scenario here, Colin, So we

0:33:12.400 --> 0:33:15.560
<v Speaker 1>have perfect knowledge of everything that's happening on the road, Like,

0:33:15.720 --> 0:33:18.600
<v Speaker 1>first of all, we have historical data of like what

0:33:18.640 --> 0:33:21.680
<v Speaker 1>the baseline congestion is going to be. We have perfect

0:33:21.760 --> 0:33:25.080
<v Speaker 1>data of when accidents happen, and we can use that

0:33:25.280 --> 0:33:27.920
<v Speaker 1>right away to predict the ripple effects of that event

0:33:28.240 --> 0:33:31.160
<v Speaker 1>and then be able to coordinate with the apps people

0:33:31.200 --> 0:33:34.719
<v Speaker 1>are using to divert them and change the traffic lights

0:33:34.840 --> 0:33:37.840
<v Speaker 1>to accommodate those changes to ease that traffic.

0:33:38.120 --> 0:33:39.680
<v Speaker 4>Yeah. I think that that was a great way to

0:33:40.600 --> 0:33:43.600
<v Speaker 4>summarize the perfect scenario. That's really what we're working towards.

0:33:43.680 --> 0:33:46.320
<v Speaker 4>And I hope that once these systems are you know,

0:33:46.400 --> 0:33:48.680
<v Speaker 4>tested more and develop more, and we really have a

0:33:48.760 --> 0:33:52.400
<v Speaker 4>reliable AI driven for example, system, then we can start

0:33:52.440 --> 0:33:55.959
<v Speaker 4>seeing things like an AI agent changes the traffic light

0:33:56.080 --> 0:33:58.720
<v Speaker 4>in response to the incident for us. I think we're

0:33:58.760 --> 0:34:01.760
<v Speaker 4>pretty far away from an area where the AI would

0:34:01.840 --> 0:34:06.040
<v Speaker 4>just fully be controlling the signal system, for example, without

0:34:06.120 --> 0:34:10.280
<v Speaker 4>human interaction. But I think the AI can recommend things,

0:34:10.640 --> 0:34:14.440
<v Speaker 4>simulate things, and then maybe a human says, yes, that

0:34:14.520 --> 0:34:18.080
<v Speaker 4>looks good and will change the light dynamically to accommodate

0:34:18.120 --> 0:34:20.319
<v Speaker 4>this for the next thirty minutes. And one thing I

0:34:20.320 --> 0:34:22.080
<v Speaker 4>guess I will add to that that we didn't talk

0:34:22.080 --> 0:34:25.480
<v Speaker 4>about would be just having better travel options too. So

0:34:25.840 --> 0:34:29.480
<v Speaker 4>really improving the multimodal infrastructure in our nation is something

0:34:29.520 --> 0:34:31.480
<v Speaker 4>that would go a long way. I know there's a

0:34:31.480 --> 0:34:34.040
<v Speaker 4>lot of people that drive that don't even really want

0:34:34.040 --> 0:34:36.120
<v Speaker 4>to drive, Like if they could take a reliable train

0:34:36.600 --> 0:34:39.480
<v Speaker 4>from A to B every day instead of having to

0:34:39.960 --> 0:34:42.759
<v Speaker 4>drive on the roads, then they would prefer to do that.

0:34:43.000 --> 0:34:45.759
<v Speaker 4>If we think about investing more in alternate modes like

0:34:45.800 --> 0:34:48.319
<v Speaker 4>we see in Europe, where the infrastructure exists and it's

0:34:48.360 --> 0:34:51.279
<v Speaker 4>good and it's reliable and it's affordable, people will take

0:34:51.280 --> 0:34:53.600
<v Speaker 4>those alternate modes, and that can also be another way

0:34:53.600 --> 0:34:55.840
<v Speaker 4>that we can relieve some of the stress on the

0:34:55.880 --> 0:34:57.360
<v Speaker 4>existing roadway system.

0:34:57.600 --> 0:35:00.800
<v Speaker 1>I see, But then let me update my optimal optimal scenario.

0:35:01.120 --> 0:35:04.840
<v Speaker 1>It seems like there's an optimal optimal optimal scenario, which

0:35:04.880 --> 0:35:08.040
<v Speaker 1>is that people ride their bicycles and take the train more.

0:35:08.400 --> 0:35:09.280
<v Speaker 4>Yeah, exactly.

0:35:09.520 --> 0:35:11.799
<v Speaker 1>I mean not that sitting in traffic listening to say

0:35:11.880 --> 0:35:14.560
<v Speaker 1>a science podcast is necessarily a.

0:35:14.480 --> 0:35:16.959
<v Speaker 4>Bad No, definitely not. I think if you were sitting

0:35:17.000 --> 0:35:18.960
<v Speaker 4>in traffic, that's probably one of the best ways you

0:35:18.960 --> 0:35:20.000
<v Speaker 4>could be spending your time.

0:35:20.800 --> 0:35:25.160
<v Speaker 1>There, you go. I feel like maybe traffic also points

0:35:25.200 --> 0:35:30.240
<v Speaker 1>to a fundamental human need to come together to gather,

0:35:30.560 --> 0:35:32.840
<v Speaker 1>Like if we didn't have that need and nobody wanted

0:35:32.880 --> 0:35:36.359
<v Speaker 1>to ever align with anybody else's schedule, maybe there would

0:35:36.360 --> 0:35:39.080
<v Speaker 1>be less traffic. But because you know, schools start at

0:35:39.120 --> 0:35:41.720
<v Speaker 1>the same same time, work starts, the business day starts

0:35:41.719 --> 0:35:44.880
<v Speaker 1>at the same time. Everyone wants to work together. We

0:35:44.960 --> 0:35:49.160
<v Speaker 1>have that fundamental human need. Then that just naturally causes traffic.

0:35:49.520 --> 0:35:53.200
<v Speaker 3>Yes, I think that's also part of the I wouldn't

0:35:53.200 --> 0:35:55.120
<v Speaker 3>say a problem because it's not a problem like that.

0:35:55.160 --> 0:35:57.000
<v Speaker 2>We want to be all together. This is part of

0:35:57.160 --> 0:35:58.480
<v Speaker 2>just the situation as it is.

0:35:58.560 --> 0:36:01.399
<v Speaker 3>And so I think it's just we need to be

0:36:01.400 --> 0:36:04.480
<v Speaker 3>better at building public transits so that people will want

0:36:04.520 --> 0:36:08.600
<v Speaker 3>to use public transit stuff taking the car or other

0:36:08.719 --> 0:36:10.560
<v Speaker 3>sorts of transportation.

0:36:10.440 --> 0:36:12.600
<v Speaker 1>Or maybe flying cars. I think that would solve everything.

0:36:12.600 --> 0:36:14.480
<v Speaker 3>What do you think then we're gonna have congestion in

0:36:14.480 --> 0:36:17.080
<v Speaker 3>the skies on the roads.

0:36:17.080 --> 0:36:22.759
<v Speaker 1>But yes, works because of three D problem. Yes, yes,

0:36:23.719 --> 0:36:24.920
<v Speaker 1>it's never gonna ends it.

0:36:25.040 --> 0:36:27.239
<v Speaker 3>I don't know, Like I think it's gonna probably get

0:36:27.280 --> 0:36:31.560
<v Speaker 3>batter us. We are getting better as time passes in theory.

0:36:31.680 --> 0:36:34.960
<v Speaker 3>I hope it's gonna be a batter as time passes.

0:36:36.160 --> 0:36:39.040
<v Speaker 1>All right, Well, if you're sitting in traffic right now

0:36:39.080 --> 0:36:42.280
<v Speaker 1>listening to this, we really appreciate you spending your commute

0:36:42.320 --> 0:36:44.600
<v Speaker 1>with us. I'm sure traffic will clear up for you.

0:36:44.600 --> 0:36:47.520
<v Speaker 1>Pretty soon and hopefully it'll clear up for all of

0:36:47.560 --> 0:36:50.439
<v Speaker 1>us in the future. Thanks for joining us, and hey,

0:36:50.560 --> 0:36:53.879
<v Speaker 1>next week is the season finale of sign Stuff and

0:36:53.920 --> 0:36:56.640
<v Speaker 1>it's going to be a pretty dramatic one, so be

0:36:56.680 --> 0:36:58.879
<v Speaker 1>sure to tune in next week as we tackle one

0:36:58.880 --> 0:37:02.720
<v Speaker 1>of the biggest signs questions facing us today, Isn't AI

0:37:03.239 --> 0:37:14.160
<v Speaker 1>going to kills all? See you? Then you've been listening

0:37:14.200 --> 0:37:18.480
<v Speaker 1>to Science Stuff, the production of iHeartRadio, written and produced

0:37:18.480 --> 0:37:22.480
<v Speaker 1>by me or hitch Ham candidate by Rose Seguda, executive

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<v Speaker 1>producer Jerry Rowland, and audio engineer and mixer Kasey Peckram,

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<v Speaker 1>and you can follow me on social media. Just search

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<v Speaker 1>for PhD Comics and the name of your favorite platform.

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<v Speaker 1>Apple Podcasts or wherever you get your podcasts, and please

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<v Speaker 1>Thanks a lot,