A system adjusts an estimated travel time from an origin to a destination to better predict an actual trip duration. The system receives a route from a specified origin and destination. The system receives an estimated trip duration corresponding to the generated route. A machine learned model improves the estimated trip duration by applying data about past trips facilitated by the system and data about traffic-control features associated with a route. For example, the system may use counts of a number of road signs and a number of traffic signals located along the generated route to predict an actual trip duration. In some cases, the system may additionally use data about synchronized traffic lights to predict actual trip duration.
Determining adjusted trip duration using route features
2019-10-01
Patent
Electronic Resource
English
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