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
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;
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
DOI :
10.1109/IWISA.2010.5473294
