I’m working on a three-part series on self-driving automobile technology for Ars Technica. In part one I covered the state of existing self-driving technology and highlighted the dramatic progress that has been made in recent years. In part two, I assume that the remaining technical hurdles can be surmounted and examine what the world might look like when self-driving cars become ubiquitous. The potential benefits are enormous: autonomous vehicles could save thousands of lives, billions of person-hours, and billions of dollars of energy costs.
The article has sparked interesting discussion around the blogosphere. Matt Yglesias has a long-standing interest in urban planning issues, so he did a post about the urban planning implications of self-driving technologies. I argue that by making taxis cheaper, self-driving cars would shift a lot of people from owning cars to renting them. And that, in turn, would dramatically reduce demand for parking lots, which will allow more pleasant, high-density cities. It’s hard to overstate the extent to which the need for parking exacerbates sprawl and congestion problems. Parking lots consume vast amounts of land in suburban areas. This, in turn, means that stuff is farther apart, which forces people to rely even more on their cars to get from place to place.
Matt’s post prompted a number of interesting responses. Ryan Avent chimed in with some thoughts about how self-driving technologies would make urban living more attractive. On the other hand Tom Lee offers a counterpoint: making car travel cheaper and more convenient will, on the margin, cause people to drive (or “ride” anyway) more. This is a good point, and it’s not clear how these factors would balance out. But even if Tom is right, this wouldn’t be an entirely bad thing. Increased mobility is a virtue in its own right.
I think Atrios and Kevin Drum are on less firm ground when they argue that this technology is so far in the future that it’s not worth thinking about. Drum compares self-driving technologies to cold fusion and human-level AI, while Atrios compares them to flying cars and jet packs. I can only assume they didn’t read the first installment of my series, in which I discuss the state of the technology in some detail. The basic technology for self-driving is already here. There are cars in university laboratories that can navigate for hundreds of miles without human supervision, and can interact safely with other cars on urban streets. Of course, there’s still a lot of work to do to enable these vehicles to safely handle the multiplicity of obstacles they would encounter in real urban environments. And after that the technology will need to be made reliable and affordable enough for commercial use. But these problems are nowhere close to the difficulty of human-level AI. Your car doesn’t have to understand why you want to go to the store in order to find a safe path from here to there. If you’re skeptical that this technology can be made to work, I encourage you to read my first article and watch PBS’s excellent documentary on the 2005 DARPA Grand Challenge. There’s a lot of uncertainty about how long until this technology will be mature enough to let loose on our streets, but I think it’s pretty clearly a matter of “when,” not “if.”
Leave a Reply