DocumentCode
2478501
Title
Traffic Intersection Signal-Planning Multi-Object Optimization Based on Genetic Algorithm
Author
Zhang Ben ; Shang Lei ; Chen Dan
Author_Institution
Sch. of Energy & Power Eng., WuHan Univ. of Technol., Wuhan, China
fYear
2010
fDate
22-23 May 2010
Firstpage
1
Lastpage
4
Abstract
For improving the intersection traffic capacity and reducing the vehicle emission, the solution that aim at the multi-object optimization was presented by using genetic algorithm (GA), and urban traffic microscopic simulation model (UTMSM) combined with GA was developed. The simulation was performed and the result indicated that the optimization method in this paper was effective to get better traffic signal control effects and to improve the environment.
Keywords
genetic algorithms; road traffic; road vehicles; genetic algorithm; intersection traffic capacity; traffic intersection signal planning multiobject optimization; traffic signal control; urban traffic microscopic simulation model; vehicle emission; Acceleration; Automotive engineering; Biological system modeling; Delay effects; Genetic algorithms; Microscopy; Optimization methods; Power engineering and energy; Traffic control; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5872-1
Electronic_ISBN
978-1-4244-5874-5
Type
conf
DOI
10.1109/IWISA.2010.5473294
Filename
5473294
Link To Document