Traffic sucks. It wastes time, it adds to pollution, and it increases driver stress levels. While taking public transit can be a good alternative, often that option simply does not exist. Making traffic worse are those all-too-frequent episodes when, after crawling along for an hour, the traffic suddenly -- and inexplicably -- picks up, as if the traffic jam was nothing but the ghost sensation left over after the original trigger had long ago departed.
To the surprise of some, more roads and more lanes don't help. Traffic jams don't occur due to the number of cars on a given road so much as due to the distance between cars. Less space between your car and the vehicle in front of you means that you have less time to react to sudden moves, and are more likely to engage in a kind of high-speed stop-and-go, hitting the brakes briefly in response to the car in front of you doing so; if the car behind you is driving too close to you, then it will also have to brake, and the too-close car behind it, and so forth. These "pinch effects" propagate backwards along the highway like a wave.
The simplest solution is for people to drive more intelligently, keeping sufficient space between vehicles to buffer the transient braking, sudden lane changes, and unexpected (but brief) changes in speed of the car in front. You're also less likely to end up in an accident if you leave more space. But since traffic planners and safety experts have been trying to get people drive this way for a long while without much success, it's a good idea to look at some technological assistance that might help.
New Scientist and The Economist this last week identified two very different technological approaches to reducing the driver-distance traffic jam problem.
New Scientist looked at a German traffic simulation system used to predict where these "pinch effect" traffic tie-ups will occur on the autobahn. Recent changes to the model, taking into account the fact that cars can't slow down instantly and the bad driving habit of keeping too close to the car in front, allow the model to "see" incipient jams up to an hour before they form. Once predicted in this way, the information can be made available to drivers, who can then change their driving routes or times accordingly. Unfortunately, the system is currently a victim of its own success: so many people choose alternate routes based on the predictions that the forecasts are becoming less accurate.
The Economist, conversely, is looking at "Adaptive Cruise Control" (ACC), which combines standard cruise control speed management with vehicle radar watching how close the car gets to the vehicle in front. According to projections by the University of Michigan, if 20% of the cars on the road were equipped with ACC, the clear-highway traffic jams would be eliminated (this suggest, of course, that a similar result would obtain if 20% of human drivers drove better, but I digress). This sounds great, except that the system isn't smart enough to adapt the way human drivers do, and ACC can actually make things worse under certain (unspecified in the article) bottleneck conditions. Ironically, the solution suggested by the developers is to let ACC vehicles driver closer the car in front than would otherwise be safe; since ACC systems can react far faster than humans to sudden changes in condition, even vehicle distance of less than a second between cars can be safely maintained. The article doesn't mention what happens when the ACC computer fails.
So which will work better -- more information or more computer control? From a just-in-time, flexibility perspective, the individual car ACC system is the winner, making traffic jams less likely regardless of the path or time chosen, although if too few drivers have the system (or drive safely), the effect is minimal, and the ACC-equipped car is stuck. From a plan-ahead/plan-for-trouble perspective, the road information approach is better, as it makes it possible (in principle) to avoid the tie-ups completely regardless of what you're driving, and if the computer system crashes (as they all do), the worst that happens is that you're in an unpredicted traffic jam.
Fortunately, both approaches are complementary, and are moving from the labs to the real-world. The ultimate effect of these developments may well be that traffic tie-ups based on too-close driving will be a thing of the past sooner than we think. Quite a pleasant surprise.