DocumentCode :
1681128
Title :
Research on Traffic Signal Control Base on Neural Network
Author :
Li, Xiaoying
Author_Institution :
Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. &Technol., Changsha, China
fYear :
2012
Firstpage :
844
Lastpage :
847
Abstract :
Traffic signal is a measure of traffic command, which distributes right of way to the triffic flow in time domain. Through comparative study between RBF network and BP network, this paper has selected RBF network to control the trffic single. Green Light Interval is decided by the measurement parameters of detector in the actuated signal control. In the usually, the time phase number of the system is set beforehand. When there is not demand for the vehicles passing in the direction of red light, the green light phase works continuly. The system starts the control model until there is demand for the vehicles passing in the direction of red light. The paper builds the model base on radial basis function, simulates in MATLAB and make an analysis of the simulated results.
Keywords :
backpropagation; radial basis function networks; road traffic control; road vehicles; BP network; MATLAB; RBF network; detector measurement parameters; green light interval; neural network; radial basis function; system time phase number; traffic command; traffic flow; traffic signal control; Analytical models; Application software; Control systems; Mathematical model; Monitoring; Radial basis function networks; Vehicles; induction controller; radial basis funtion (RBF); signal Control; vehicle monitor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2012 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-1-4673-0458-0
Type :
conf
DOI :
10.1109/CDCIEM.2012.206
Filename :
6178613
Link To Document :
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