Switching-model cooperative control for two intersections applying Q-learning

Author

Zhang, Jie ; Zhao, Xiao-Hua ; Yu, Quan ; Li, Zhen-long

Author_Institution

Dept. of Electron. Inf.&Control Eng., Beijing Univ. of Technol., Beijing

fYear

2008

fDate

25-27 June 2008

Firstpage

82

Lastpage

85

Abstract

Q-Learning can successfully solve the congestion problem of isolated intersection. But it is not available to realize the coordination between two intersections. A switching-model of two intersections is introduced in this paper. The concept of combinative phase is put forward in order to divert two intersections into a single one. In this way, we can apply Q-Learning on two adjacent intersections. The validity and feasibility are proved by Paramics simulation software.

Keywords

learning (artificial intelligence); road traffic; traffic engineering computing; Paramics simulation software; Q-learning; adjacent intersections; congestion problem; switching-model cooperative control; Automation; Communication system traffic control; Control engineering; Control systems; Fuzzy control; Intelligent control; Isolation technology; Learning; Timing; Traffic control; Adjacent intersections; Combinative phase; Coordination; Q-learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4592903

Filename

4592903