Technologies are described to provide control of traffic signals based at least in part on multiple Q-learning categories. In some examples, a method may include clustering historical traffic data into multiple traffic pattern clusters, and generating multiple Q-learning categories, where each Q-learning category corresponds to a traffic pattern cluster of the multiple traffic pattern clusters. The method may also include determining a first Q-learning category of the multiple Q-learning categories to use in controlling traffic signals at an intersection based at least in part on a first traffic data of the intersection, where the first Q-learning category corresponds to a first traffic pattern cluster, and the first traffic data corresponds to the first traffic pattern cluster. The method may additionally include generating a first control action for the traffic signals at the intersection based at least in part on the first Q-learning category.
TRAFFIC SIGNAL CONTROL USING MULTIPLE Q-LEARNING CATEGORIES
VERKEHRSSIGNALSTEUERUNG MITHILFE MEHRERER Q-LEARNING-KATEGORIEN
COMMANDE DE SIGNAL DE CIRCULATION UTILISANT DE MULTIPLES CATÉGORIES DE Q-LEARNING
2020-03-25
Patent
Electronic Resource
English
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Traffic signal control using multiple Q-learning categories
European Patent Office | 2019
|TRAFFIC SIGNAL CONTROL USING MULTIPLE Q-LEARNING CATEGORIES
European Patent Office | 2019
|Traffic signal control using multiple Q-learning categories
European Patent Office | 2018
|TRAFFIC SIGNAL CONTROL USING PLURALITY OF Q-LEARNING CATEGORIES
European Patent Office | 2018
|