DocumentCode :
2788559
Title :
Arterial Traffic Two-Direction Green Wave Coordination Control Based on MATLAB Graphical Method
Author :
Lin Guo ; Renfa Yang ; Minjie Zhang
Author_Institution :
Sch. of Transp., Ningbo Univ. of Technol., Ningbo, China
fYear :
2015
fDate :
24-26 April 2015
Firstpage :
632
Lastpage :
635
Abstract :
This paper presents a new two-direction green wave optimization method to solve the coordination control problem of urban arterial traffic. An optimization method based on MATLAB graphical computation was proposed to solve the synchronous optimization for five parameters including the phase, the phase sequence, the offset, the cycle time and the split. Inbound coordination in the heavy traffic flow direction was achieved firstly, and the offset between each intersection in the outbound direction was adjusted by using phases with asymmetric signal mode, lag-open or advanced-close and etc. Then the coordinated control scheme for multi-plan was designed flexibly according to the characteristics of different intersections. The implementation shows: this method can take into account the non-motor vehicles, pedestrian and intersection traffic demands, improve the traffic efficiency for arterial roads, and reduce vehicle stop delay.
Keywords :
control engineering computing; mathematics computing; optimisation; road traffic control; road vehicles; traffic engineering computing; MATLAB graphical computation; MATLAB graphical method; advanced-close; arterial traffic two-direction green wave coordination control; asymmetric signal mode; cycle time; heavy traffic flow direction; inbound coordination; lag-open; offset; outbound direction; phase sequence; split; synchronous optimization; traffic efficiency; two-direction green wave optimization method; vehicle stop delay reduction; Bandwidth; MATLAB; Optimization methods; Roads; Vehicles; MATLAB Graphical method; arterial traffic; coordination control; green wave; synchronous optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6849-0
Type :
conf
DOI :
10.1109/ICISCE.2015.146
Filename :
7120686
Link To Document :
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