Traffic. Traffic congestion is a key feature of mobile mapping, and predicting it involves looking at historical data. CityLab reports on a recent study suggests that time-of-day electricity usage patterns can be used to predict traffic congestion patterns. A household that starts using power earlier in the morning gets up earlier and presumably will go to work earlier.) It’s another variable that can be put to use in traffic modelling.
Leonia, New Jersey’s decision to close its residential streets to non-residents (previously)—an attempt to deal with the traffic being routed that way by navigation apps like Waze—has also, like the apps that created the problem in the first place, resulted in some unintended consequences. On, for example, visiting relatives and local businesses.
There have been numerous complaints that mobile map apps have been dumping traffic from freeways onto nearby residential streets (previously). But a team of researchers, including Berkeley’s Alexandre Bayen, have been looking at the problem from the perspective of game theory (see papers here and here). Basically, the apps operate selfishly, and lead to results for all drivers that are less good than if they had been working cooperatively. It’s an example of the Nash equilibrium. More at Boing Boing and CityLab.
When your navigation app (e.g. Waze) suggests an alternate route to avoid congestion, that has knock-on effects on the communities you’re routed through, particularly when a lot of traffic gets pushed onto quiet residential streets. That’s the situation in Leonia, New Jersey, the New York Times reports, where later this month the police will be closing some 60 streets to non-local traffic in hopes of routing all that Wazer traffic somewhere else. Some of the somewhere elses aren’t happy with this move, naturally. [Engadget]
NPR graphics editor Alyson Hurt discovered that this month’s blizzard was showing up in Google Maps as traffic delays, and whipped up a little script that took regular screencaps of Google Maps’s traffic layer. She then created an animated GIF from the screencaps. The end result (above) dramatically shows the storm sweeping across the mid-Atlantic states.