DocumentCode
2537749
Title
Optimization of two-way traffic signal timing control
Author
Zhang, Li ; Wu, Er-yong
Author_Institution
Sch. of Comput. Sci., Hangzhou Dianzi Univ., Hangzhou, China
fYear
2009
fDate
3-5 June 2009
Firstpage
1137
Lastpage
1142
Abstract
A new method of two-way traffic signal timing control based on speed is presented. The whole control structure is divided into the decision-making level and control level. Two new measurements are put forward which weigh traffic urgency degree and differentiate traffic flow states separately based on traffic demands. Two-way traffic control and one-way traffic control can be transformed into each other according to the urgency degree. Taking speed as a measure is based on the fact that the road section distance and intersection conditions are changeless and they are out of control. Such classical direction coordinated control strategy as synchronous and asynchronous coordinated control are impractical because of their limited use, that is, they require equal section lengths on arterials. The algorithm is based on our proposed one-way control method which changes the control aim timely depended on the vehicle queue length variation during the adjacent cycle and the relationship between the number of the arrival and departure vehicles in the same cycle. The experimental results demonstrate the method´s ability to realize the running of the two-way traffic and indicate that the proposed discrete type performance index model is a more appropriate design for two-way traffic signal timing control.
Keywords
decision making; optimisation; road traffic; road vehicles; signalling; traffic control; velocity control; asynchronous coordinated control; decision-making level; optimization; road intersection condition; road section distance; speed control; synchronous coordinated control; traffic flow state; traffic urgency degree; two-way traffic signal timing control; vehicle queue length variation; Timing; Traffic signal timing control; discrete dynamic system; genetic algorithm; objective optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2009 IEEE
Conference_Location
Xi´an
ISSN
1931-0587
Print_ISBN
978-1-4244-3503-6
Electronic_ISBN
1931-0587
Type
conf
DOI
10.1109/IVS.2009.5164442
Filename
5164442
Link To Document