Title :
Improving fuzzy traffic controller for multilane-multiple intersection
Author :
Soh, Azura Che ; Khalid, Marzuki ; Marhaban, Mohammad Hamiruce ; Yusuf, Rubiyah
Author_Institution :
Centre for Artificial Intell. & Robot. (CAIRO), Univ. Teknol. Malaysia, Kuala Lumpur, Malaysia
Abstract :
This paper presents a fuzzy traffic controller for controlling a multilane-multiple traffic intersection in urban city environment. The developed controller applied to the model is based on the cooperation and distributed mechanisms with the neighbors´ intersection. The phase sequence and phase length extension are used in decision making to provide efficient and more optimal traffic control. The input variables are normalized and the proposed fuzzy traffic controller is suitable to be used to any case study without modification to the controller modules. The simulation illustrates that the fuzzy traffic controller proposed in this study show a remarkable improvement over the existing fuzzy traffic controller without input normalization.
Keywords :
decision making; fuzzy control; optimal control; road traffic; traffic control; decision making; distributed mechanisms; fuzzy traffic controller; multilane-multiple traffic intersection; optimal traffic control; phase length extension; phase sequence; Adaptive control; Automatic control; Communication system traffic control; Control systems; Decision making; Fuzzy control; Fuzzy logic; Programmable control; Traffic control; Urban areas;
Conference_Titel :
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-4706-0
Electronic_ISBN :
978-1-4244-4707-7
DOI :
10.1109/ICCA.2009.5410573