Vehicle repositioning on mobility-on-demand platforms
US12061090B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 10, 2020 |
| Grant date | Aug 13, 2024 |
| Priority date | — |
| Expiry date | Jul 5, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/096833
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Deep reinforcement learning may be used for vehicle repositioning on mobility-on-demand platforms. Information may be obtained. The information may include a current location of a vehicle on a ride-sharing platform. A set of paths originated from the current location of the vehicle may be obtained. Each of the set of paths may have a length less than a preset maximum path length. A set of expected cumulative rewards along the set of paths may be obtained based on a trained deep value-network. A best path from the set of paths may be selected based on a heuristic tree search of the set of expected cumulative rewards. A next step along the best path may be recommended as a reposition action for the vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.