TRAFFIC SIGNAL CONTROL USING MULTIPLE Q-LEARNING CATEGORIES
TRAFFIC SIGNAL CONTROL USING MULTIPLE Q-LEARNING CATEGORIES
- New search for: LIU YING
- New search for: LIU LEI
- New search for: CHEN WEI-PENG
- New search for: LIU YING
- New search for: LIU LEI
- New search for: CHEN WEI-PENG
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.
Document information
TRAFFIC SIGNAL CONTROL USING MULTIPLE Q-LEARNING CATEGORIES
2019-05-09
Patent
Electronic Resource
English
| IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / F21W Index-Schema in Verbindung mit den Unterklassen F21K, F21L, F21S und F21V, betreffend den Gebrauch oder Einsatz von Leuchten oder Beleuchtungssystem , INDEXING SCHEME ASSOCIATED WITH SUBCLASSES F21K, F21L, F21S and F21V, RELATING TO USES OR APPLICATIONS OF LIGHTING DEVICES OR SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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