Systems and methods are provided for altering the default operation of traffic signals, e.g., static cycling of lights, based on one or more road conditions and/or operating characteristics of vehicles at or near an intersection at which the traffic signals are located. The timing of light changes in traffic signals can be altered based upon a desire to optimize fuel efficiency, prioritize passage of vehicles through the intersection, and/or exhibit favoritism to vehicles that are driven efficiently and/or by drivers contributing to a pay-to-pass system. Traffic signal controllers controlling traffic signals may, over time, learn traffic patterns based on gathered information regarding the operating characteristics of vehicles and/or road conditions.
Traffic signal learning and optimization
2020-04-14
Patent
Elektronische Ressource
Englisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Continuous residual reinforcement learning for traffic signal control optimization
BASE | 2018
|Traffic signal single point self-learning optimization control method
Europäisches Patentamt | 2016
|Traffic Signal Timing Optimization
Transportation Research Record | 2013
|