4 ms·
I live in an area strongly impacted by Google making ‘individually optimal’ decisions for each driver, and actually leaving those drivers in a dramatically wors
by frogblast 6y ago
I live in an area strongly impacted by Google making ‘individually optimal’ decisions for each driver, and actually leaving those drivers in a dramatically worse situation.
I live in a rural area, between a major population center and a major resort area, with one major highway and a few small back roads that provide alternate paths for part of the highways route. Every summer weekend the highway becomes highly congested.
Google quickly starts routing people down the back roads because of a 30 minute delay on the highway. A sudden crush of cars hits these back roads, and they end up gridlocked for 3-4 hours. Google then realizes traffic is literally stopped on these roads, and stops sending new traffic down those routes. But the people already on them are still stuck for hours.
It gets smelly when a bunch of drivers take a shit on the side of the road because they can’t go anywhere else, and leave it there.
All because Google simultaneously made an ‘individually optimal’ decision for a whole bunch of individual drivers at once.
——
Another example in the same area actually causes a backup on the highway itself. Google started suggesting one back road that required an unprotected left turn across oncoming traffic on the highway, to avoid a 10-15 minute delay further on the highway. Drivers dutifully followed directions by getting into the left turn lane.
The drain rate of the left turn rate is slow because oncoming traffic is also high. The left turn lane fills up, and one driver with directions to turn then stops in the traffic lanes to wait for room to get into the turn lane. And suddenly the highway is now encountering 2-3 hour delays that don’t clear for most of the day.
- bumby 6y agoI wonder if this will be improved with more realistic cost functions that adequately model those localized effects. Probably impossible at a global level but I wonder if it’s possible to eventually model and update those cost functions periodically to represent local maps
- mc32 6y agoThis happens sometimes on I80 in the Winter (usually btwn Auburn and Tahoe). Snow conditions can wreak havoc on weekends. People are routed to backroads --but not everyone has chains on (so they may have to fumble and get them on while on a road without wide shoulders to pull over), or clearance that will enable to take the back roads --so they get stuck in even bigger snarl. It's evident they (G) need to work with Traffic Engineers and not cowboy it.
- HALtheWise 6y agoIn theory, the learning based approach in this blog post could solve this without any architectural changes. They mention predictions spilling to nearby roads, learning the pattern that "if the highway is backed up now, the little road will be too in a few minutes". Once that is baked into the model, Google Maps won't direct (as many) people onto the site road because they would get stuck in the predicted traffic there. The nice thing about this is it also handles the case where other mapping applications direct drivers there, and the "smartest" mapping application will still get you there fastest.