1 00:00:02,040 --> 00:00:07,120 Speaker 1: Welcome to brain Stuff from How Stuff Works, Hey, brain Stuff, 2 00:00:07,160 --> 00:00:10,000 Speaker 1: Lauren Vogel bomb here. Imagine a future in which you 3 00:00:10,119 --> 00:00:12,840 Speaker 1: climb into the back of your self driving autonomous vehicle 4 00:00:13,000 --> 00:00:15,319 Speaker 1: and instructed to take you on a late night fast 5 00:00:15,320 --> 00:00:19,279 Speaker 1: food run. Imagine also that you're particularly famished that night. 6 00:00:19,920 --> 00:00:22,280 Speaker 1: Would you be able to tell the computer to exceed 7 00:00:22,320 --> 00:00:24,200 Speaker 1: the posted speed limit and get you to your chicken 8 00:00:24,239 --> 00:00:26,880 Speaker 1: nuggets a little more quickly? Or will the system remind 9 00:00:26,880 --> 00:00:29,319 Speaker 1: you in a polite but firm, synthesized voice that you 10 00:00:29,400 --> 00:00:34,200 Speaker 1: have can. That's a hard question to answer, since level 11 00:00:34,240 --> 00:00:37,360 Speaker 1: five autonomous vehicles, the hypothetical ones equipped to be able 12 00:00:37,400 --> 00:00:40,320 Speaker 1: to drive in any sort of environment with no human intervention, 13 00:00:40,560 --> 00:00:43,800 Speaker 1: are still somewhere away off in the future. But it 14 00:00:43,840 --> 00:00:46,640 Speaker 1: seems likely that when robotic cars hit the market, they'll 15 00:00:46,680 --> 00:00:49,680 Speaker 1: be designed to stick to speed limits, except perhaps when 16 00:00:49,680 --> 00:00:53,480 Speaker 1: safety requires speeding up. A few years back, when experimental 17 00:00:53,479 --> 00:00:57,360 Speaker 1: autonomous vehicles first began appearing on American roads, Reuters reported 18 00:00:57,360 --> 00:01:00,280 Speaker 1: that Google's self driving cars actually were design end to 19 00:01:00,320 --> 00:01:03,360 Speaker 1: go up to ten miles or sixteen kilometers faster than 20 00:01:03,400 --> 00:01:06,600 Speaker 1: the speed limit when traffic conditions made it necessary. The 21 00:01:06,640 --> 00:01:09,360 Speaker 1: problem wasn't that the robots got unpatient, but rather that 22 00:01:09,520 --> 00:01:13,399 Speaker 1: human drivers routinely exceed posted speed limits and tend to 23 00:01:13,400 --> 00:01:15,280 Speaker 1: go as fast as they think they can get away 24 00:01:15,319 --> 00:01:18,200 Speaker 1: with without getting a ticket. Researchers worried that with all 25 00:01:18,240 --> 00:01:20,920 Speaker 1: those humans out there careening around as fast as possible, 26 00:01:21,120 --> 00:01:23,520 Speaker 1: it might be dangerous for robots to plod along at 27 00:01:23,520 --> 00:01:26,760 Speaker 1: the legal limit or lower, but so far there aren't 28 00:01:26,760 --> 00:01:30,400 Speaker 1: any signs that autonomous cars are prone to speeding. In California, 29 00:01:30,480 --> 00:01:33,680 Speaker 1: the only state that keeps track of accidents involving autonomous vehicles, 30 00:01:33,880 --> 00:01:37,679 Speaker 1: there have been nearly fifty mishaps reported since, and many 31 00:01:37,680 --> 00:01:40,160 Speaker 1: of them it was a human driven vehicle that rear 32 00:01:40,319 --> 00:01:43,720 Speaker 1: ended an autonomous one, often when the robot cautiously slowed 33 00:01:43,760 --> 00:01:47,160 Speaker 1: tield to another car or a pedestrian. In other instances, 34 00:01:47,200 --> 00:01:50,280 Speaker 1: human drivers got frustrated with slow poke autonomous vehicles and 35 00:01:50,320 --> 00:01:54,680 Speaker 1: clipped them as they tried to pass. According to report 36 00:01:54,760 --> 00:01:57,880 Speaker 1: on Speed limits by the National Conference of State Legislatures, 37 00:01:58,080 --> 00:02:00,920 Speaker 1: government traffic planners envision a few sure in which autonomous 38 00:02:01,000 --> 00:02:03,960 Speaker 1: vehicles will most likely be programmed to not exceed the 39 00:02:04,000 --> 00:02:07,160 Speaker 1: posted speed limit in an area. Moreover, they're hoping that 40 00:02:07,240 --> 00:02:10,480 Speaker 1: regimentation will make the road safer because it will reduce 41 00:02:10,520 --> 00:02:12,640 Speaker 1: the danger that develops when the roads are filled with 42 00:02:12,720 --> 00:02:16,280 Speaker 1: vehicles traveling at varying rates of speed. On the downside, 43 00:02:16,280 --> 00:02:19,320 Speaker 1: the author's note, a proliferation of law abiding robots will 44 00:02:19,320 --> 00:02:21,480 Speaker 1: mean a reduction in the revenue that state and local 45 00:02:21,520 --> 00:02:25,240 Speaker 1: governments have been getting from ticketing speeders. But if we 46 00:02:25,320 --> 00:02:27,119 Speaker 1: ever get to the point where we have enough self 47 00:02:27,160 --> 00:02:29,280 Speaker 1: driving cars on the road that we could have robot 48 00:02:29,320 --> 00:02:32,560 Speaker 1: only highway routes, networked vehicles might be able to travel 49 00:02:32,560 --> 00:02:36,079 Speaker 1: safely at higher speeds than human drivers, and University of 50 00:02:36,120 --> 00:02:39,360 Speaker 1: Illinois researchers say that because autonomous vehicles are designed to 51 00:02:39,400 --> 00:02:42,720 Speaker 1: adjust to and accommodate human drivers maneuvers, even a small 52 00:02:42,720 --> 00:02:45,160 Speaker 1: proportion of robots driving out a highway as few as 53 00:02:45,200 --> 00:02:47,960 Speaker 1: five percent of total cars could eliminate the stop and 54 00:02:48,000 --> 00:02:56,440 Speaker 1: go waves that lead to congestion. Today's episode is written 55 00:02:56,480 --> 00:02:59,400 Speaker 1: by Patrick J. Keiger and produced by Tristan McNeil. For 56 00:02:59,480 --> 00:03:01,840 Speaker 1: more on this and lots of other future tech topics, 57 00:03:01,960 --> 00:03:14,760 Speaker 1: visit our home planet howstep works dot com. M