Intelligent Agent Based Traffic Signal Control on Isolated Intersections
Intelligent Agent Based Traffic Signal Control on Isolated Intersections
Author(s): Daniela Koltovska, Kristi BombolSubject(s): Social psychology and group interaction, Environmental interactions
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: adaptive control; isolated intersections; artificial intelligence; intelligent agent; Q-learning
Summary/Abstract: The purpose of this paper is to develop an adaptive signal control strategy on isolated urban intersections. An innovative approach to defining the set of states dependent on the actual and primarily observed parameters has been introduced. ?he Q–learning algorithm has been applied. The developed self-learning adaptive signal strategy has been tested on a re?l intersection. The intelligent agent results have been compared to those in cases of fixed-time and actuated control. Regarding the average total delay, the total number of stops and the total throughput, the best results have been obtained for unknown traffic demand and over-capacity.
Journal: TEM Journal
- Issue Year: 3/2014
- Issue No: 3
- Page Range: 216-222
- Page Count: 7
- Language: English