Determining adjusted trip duration using route features
US10429200B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 15, 2017 |
| Grant date | Oct 1, 2019 |
| Priority date | — |
| Expiry date | Jul 13, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/021
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.