WEBVTT - Does Syncing Traffic Lights Reduce Traffic?

0:00:02.040 --> 0:00:07.080
<v Speaker 1>Welcome to brain Stuff from How Stuff Works, Hey, brain Stuff.

0:00:07.120 --> 0:00:11.920
<v Speaker 1>Lauren Vogel bomb here in Los Angeles completed a thirty year,

0:00:12.160 --> 0:00:15.840
<v Speaker 1>four hundred million dollar project to synchronize four thousand, five

0:00:15.880 --> 0:00:19.400
<v Speaker 1>hundred traffic lights across the city. By deploying a vast

0:00:19.440 --> 0:00:23.360
<v Speaker 1>network of magnetic sensors installed under roadways plus hundreds of cameras,

0:00:23.520 --> 0:00:26.720
<v Speaker 1>the city can now capture real time traffic data using

0:00:26.760 --> 0:00:30.280
<v Speaker 1>a centralized computer system to synchronize green lights in order

0:00:30.320 --> 0:00:34.800
<v Speaker 1>to reduce LA's notorious congestion and rush hour gridlock. Soon

0:00:34.880 --> 0:00:38.320
<v Speaker 1>after the Los Angeles system was completed, city engineers cheerfully

0:00:38.320 --> 0:00:40.879
<v Speaker 1>reported that the average speed of traffic was up sixteen

0:00:40.960 --> 0:00:43.080
<v Speaker 1>percent and that the time it took to drive five

0:00:43.120 --> 0:00:45.720
<v Speaker 1>miles that's about eight kilometers on l A city streets

0:00:45.920 --> 0:00:48.840
<v Speaker 1>was down from twenty minutes to seventeen point two minutes.

0:00:49.440 --> 0:00:53.360
<v Speaker 1>And yet in l A still held the number one

0:00:53.400 --> 0:00:56.640
<v Speaker 1>spot for most traffic congested city in the United States.

0:00:57.640 --> 0:01:00.279
<v Speaker 1>So why didn't sinking the lights make more a dent

0:01:00.360 --> 0:01:03.680
<v Speaker 1>in the congestion problem? We spoke with Tim Lomax, a

0:01:03.760 --> 0:01:06.680
<v Speaker 1>research fellow with the Texas and m Transportation Institute and

0:01:06.760 --> 0:01:10.319
<v Speaker 1>a thirty five year veteran of traffic analysis. He says

0:01:10.360 --> 0:01:13.520
<v Speaker 1>that adaptive traffic signals are absolutely a good thing, but

0:01:13.560 --> 0:01:16.880
<v Speaker 1>they are not the quick, fixed panacea that frustrated commuters

0:01:16.880 --> 0:01:20.320
<v Speaker 1>believe them to be. Sinct traffic signals work best when

0:01:20.360 --> 0:01:22.600
<v Speaker 1>there is a clear and predictable flow of traffic in

0:01:22.680 --> 0:01:26.720
<v Speaker 1>one direction, explains lomax. I. Think of the traditional commuter scenario,

0:01:26.800 --> 0:01:29.440
<v Speaker 1>in which traffic flows primarily from the suburbs into the

0:01:29.480 --> 0:01:32.560
<v Speaker 1>city center in the morning and reverses course in the evening.

0:01:33.400 --> 0:01:35.600
<v Speaker 1>La Max said that in that kind of scenario, it's

0:01:35.600 --> 0:01:38.720
<v Speaker 1>easy to design a fairly well functioning traffic signal system

0:01:38.720 --> 0:01:41.000
<v Speaker 1>because it's clear which side of the road should get

0:01:41.040 --> 0:01:44.039
<v Speaker 1>longer green lights, and those lights can be timed with

0:01:44.080 --> 0:01:47.360
<v Speaker 1>the flow of traffic to keep cars moving. The problem

0:01:47.480 --> 0:01:50.120
<v Speaker 1>is that traffic patterns in the biggest US cities aren't

0:01:50.120 --> 0:01:53.280
<v Speaker 1>so cut and dried. La Max said, if you look

0:01:53.280 --> 0:01:56.240
<v Speaker 1>at the economic landscape now, there are jobs and populations

0:01:56.280 --> 0:01:59.680
<v Speaker 1>spread all over most metropolitan areas, and the highest volume

0:01:59.720 --> 0:02:02.320
<v Speaker 1>of geting could be from one suburb to another suburb.

0:02:02.760 --> 0:02:06.040
<v Speaker 1>All of your critical bottleneck intersections have heavy traffic coming

0:02:06.080 --> 0:02:10.079
<v Speaker 1>at them in both directions. So how does traffic signal

0:02:10.120 --> 0:02:13.000
<v Speaker 1>sinking work in the first place. A California's city of

0:02:13.040 --> 0:02:16.799
<v Speaker 1>Irvine explains the process like this. The city's traffic control

0:02:16.840 --> 0:02:19.360
<v Speaker 1>center calculates the arrival time for a group of cars

0:02:19.400 --> 0:02:21.880
<v Speaker 1>at each intersection, assuming the cars are traveling at a

0:02:21.919 --> 0:02:25.160
<v Speaker 1>certain speed, and then times the traffic signal to turn

0:02:25.240 --> 0:02:28.680
<v Speaker 1>green just as this group will hit the intersection. More

0:02:28.919 --> 0:02:31.560
<v Speaker 1>green time is given to a main street with greater

0:02:31.560 --> 0:02:35.600
<v Speaker 1>traffic volume than a side street with less volume. Synchronized

0:02:35.600 --> 0:02:37.919
<v Speaker 1>traffic lights don't mean that a driver will encounter an

0:02:37.960 --> 0:02:40.600
<v Speaker 1>unending number of green lights as she drives down a

0:02:40.600 --> 0:02:43.120
<v Speaker 1>major road, though. What it means is that all the

0:02:43.160 --> 0:02:45.480
<v Speaker 1>signals on a main road are set to run the

0:02:45.520 --> 0:02:48.160
<v Speaker 1>same cycle length. That is, the time that the signal

0:02:48.200 --> 0:02:50.400
<v Speaker 1>takes to go from green to yellow, to red and

0:02:50.480 --> 0:02:53.919
<v Speaker 1>back to green again. Ideally, the signal would turn green

0:02:54.000 --> 0:02:57.320
<v Speaker 1>again as the next group of cars arrives. Eli's traffic

0:02:57.320 --> 0:03:00.760
<v Speaker 1>system overhaul went further than most others by using cameras

0:03:00.760 --> 0:03:03.679
<v Speaker 1>and sensors to measure traffic flow and make real time

0:03:03.680 --> 0:03:07.640
<v Speaker 1>adjustments to keep traffic moving. Lomax says that poorly timed

0:03:07.639 --> 0:03:10.880
<v Speaker 1>traffic signals can cause significant delays and that cities can

0:03:10.919 --> 0:03:14.120
<v Speaker 1>make big games by updating signal timing every three years

0:03:14.160 --> 0:03:17.320
<v Speaker 1>to adjust for new traffic patterns. You might not completely

0:03:17.320 --> 0:03:19.960
<v Speaker 1>erase the difference between travel times during off hours and

0:03:20.040 --> 0:03:22.560
<v Speaker 1>peak hours, but you might reduce that difference by as

0:03:22.639 --> 0:03:28.120
<v Speaker 1>much as half. But retiming traffic lights costs money and manpower.

0:03:28.560 --> 0:03:31.560
<v Speaker 1>According to Texas A and M Research, cities should expect

0:03:31.560 --> 0:03:34.280
<v Speaker 1>to spend between three thousand, five hundred and four thousand

0:03:34.280 --> 0:03:37.800
<v Speaker 1>dollars per intersection and devote twenty to thirty work hours

0:03:37.840 --> 0:03:42.280
<v Speaker 1>for analyzing and re timing every signal. And jurisdiction issues

0:03:42.320 --> 0:03:44.880
<v Speaker 1>can complicate matters when these aim stretch of road passes

0:03:44.880 --> 0:03:48.200
<v Speaker 1>through different municipalities. What if one city or suburb doesn't

0:03:48.240 --> 0:03:50.480
<v Speaker 1>want to fork over money for the upgrade. That can

0:03:50.520 --> 0:03:54.040
<v Speaker 1>hold up re timing efforts for years. Here in Atlanta,

0:03:54.200 --> 0:03:57.160
<v Speaker 1>the fourth worst traffic city in the United States, the

0:03:57.240 --> 0:03:59.440
<v Speaker 1>last time that traffic lights were all SINCD was in

0:03:59.480 --> 0:04:02.280
<v Speaker 1>the midnight team seventies, when we had traffic lights at

0:04:02.280 --> 0:04:06.320
<v Speaker 1>only three hundred and twenty intersections citywide. As of eleven,

0:04:06.480 --> 0:04:08.600
<v Speaker 1>we had lights at a further nine hundred and forty

0:04:08.640 --> 0:04:13.040
<v Speaker 1>five intersections that were not included in the coordination system.

0:04:13.160 --> 0:04:16.040
<v Speaker 1>Retiming or sinking traffic lights is only one tool in

0:04:16.080 --> 0:04:20.320
<v Speaker 1>the traffic fighting toolbox. Lomax says that another effective strategy

0:04:20.400 --> 0:04:23.160
<v Speaker 1>is to clear away accidents and disabled cars more quickly.

0:04:23.600 --> 0:04:25.800
<v Speaker 1>He says the commuters aren't as miffed by long drive

0:04:25.839 --> 0:04:29.479
<v Speaker 1>times as they are by unpredictable drive times. What really

0:04:29.480 --> 0:04:31.880
<v Speaker 1>stresses people out is when the daily forty five minute

0:04:31.880 --> 0:04:35.560
<v Speaker 1>commute unexpectedly becomes an hour and a half commute, and

0:04:35.680 --> 0:04:38.840
<v Speaker 1>the most common causes of unexpected delays are accidents and

0:04:38.960 --> 0:04:43.080
<v Speaker 1>stalled cars. Oh and one more reason why synchronized traffic

0:04:43.160 --> 0:04:44.919
<v Speaker 1>lights may not help with traffic flow as much as

0:04:44.960 --> 0:04:48.520
<v Speaker 1>we'd like. Once people realize that congestion has improved on

0:04:48.560 --> 0:04:51.080
<v Speaker 1>a street, it encourages them to get in their cars

0:04:51.080 --> 0:04:53.760
<v Speaker 1>and drive on that street, thereby increasing the number of

0:04:53.800 --> 0:05:02.400
<v Speaker 1>cars on the road, which means more traffic. Today's episode

0:05:02.440 --> 0:05:04.640
<v Speaker 1>was written by Dave Ruse and produced by Tyler Clang.

0:05:04.920 --> 0:05:07.480
<v Speaker 1>For more on this and lots of other carefully timed topics,

0:05:07.600 --> 0:05:21.200
<v Speaker 1>visit our home planet, how Stuff Works dot com.