Traffic Signal Control with Adaptive Fuzzy Coloured Petri Net Based on Learning Automata

Author

Barzegar, S. ; Davoudpour, M. ; Meybodi ; Sadeghian, A. ; Tirandazian, M.

Author_Institution

Dept. of Electron. & Comput. Eng., Islamic Azad Univ. of Qazvin, Qazvin, Iran

fYear

2010

fDate

12-14 July 2010

Firstpage

1

Lastpage

8

Abstract

Increasing number of vehicles, as the natural consequence of population growth, has caused a significant bottle-neck in transportation network and consequently major delays at intersections. Hence, in this paper we study a hybrid adaptive model, based on combination of Coloured Petri Nets, Fuzzy Logic and Learning Automata to efficiently control traffic signals. We show that in comparison with the results found in the literature the vehicle delay time is drastically reduced using the proposed method.

Keywords

Petri nets; adaptive control; fuzzy logic; learning automata; road traffic; coloured Petri net; fuzzy logic; hybrid adaptive model; learning automata; traffic signal control; Adaptive control; Automatic control; Communication system traffic control; Fuzzy control; Learning automata; Petri nets; Programmable control; Traffic control; Transportation; Vehicles; Adaptive Coloured Petri Nets; Fuzzy Logic; Learning Automata; Traffic Signal Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American

Conference_Location

Toronto, ON

Print_ISBN

978-1-4244-7859-0

Electronic_ISBN

978-1-4244-7857-6

Type

conf

DOI

10.1109/NAFIPS.2010.5548184

Filename

5548184