Apparatus and method for controlling traffic signals of traffic lights in sub-area by using reinforcement learning model
US12283181B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 21, 2022 |
| Grant date | Apr 22, 2025 |
| Priority date | — |
| Expiry date | Apr 7, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/083
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Provided are methods and apparatuses for controlling traffic signals of traffic lights in a sub-area by using a neural network model. The method according to an embodiment of the present disclosure may configure state information of a sub-area by using downstream information obtained in a current cycle time for each of a plurality of intersections included in the sub-area. In addition, the method may input the state information to a trained reinforcement learning model, and obtain action information of the sub-area including green times and offsets, by using an output from the trained reinforcement learning model. Furthermore, the method may generate coordinated signal values for applying the action to traffic lights in the sub-area in a subsequent cycle time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.