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The crazy thing to me is that it's pretty decent at estimating even in dynamic traffic conditions. Consider US101 in the Bay area at rush hour - if you leave Sa
by GeneralMayhem 9y ago
The crazy thing to me is that it's pretty decent at estimating even in dynamic traffic conditions. Consider US101 in the Bay area at rush hour - if you leave San Jose around 6pm, you'll drive straight into traffic, but by the time you get to SF it'll be significantly lighter. A lesser algorithm would give you a time prediction based on current traffic speeds at all points along your path, which would give you a wildly pessimistic estimate when you leave and only converge when you get close to your destination. But Maps has enough data to know that at that time of day traffic is trending better, and by how much.
- jjeaff 9y agoI just figure they are using the average of other people who took the exact same trip last week when conditions were similar.
- bob_theslob646 9y agoThey are using people's locations in real time for traffic. >Traffic density is gathered via crowd sourcing from smartphone users using Google Maps on a mobile application in a route. In a nutshell, Google™ is analysing the GPS-determined locations transmitted by a large number of smartphone users. By calculating the speed of users along a length of road, Google™ is able to generate a Live Traffic Google Map™. https://www.drivingdirectionsandmaps.com/traffic-conditions-on-google-map/ https://www.drivingdirectionsandmaps.com/traffic-conditions-...