Title :
Coordinate Signal Control in Trunk Road Based on Genetic BP Neural Network
Author :
Shao-Jiao Lv ; Chun-gui Li ; Zhe-ming Li
Author_Institution :
Dept. of Electr. & Inf. Eng., Guangxi Univ. of Sci. & Technol. Liuzhou, Liuzhou, China
Abstract :
To achieve a minimal time to through the urban traffic trunk road. However, the traditional analytical algorithm can not be applied in actual traffic widely. By combining the genetic BP neural network with the traditional analytical, A novel dynamic two-direction green wave coordinate control strategy was proposed, which applied in solving the function optimization problem. Finally, the new algorithm is compared with the existing algorithms for simulation experiments, The experiment results shows that the method on convergence and optimization results were improved.
Keywords :
backpropagation; genetic algorithms; neurocontrollers; road traffic control; coordinate signal control; dynamic two-direction green wave coordinate control strategy; function optimization problem; genetic BP neural network; urban traffic trunk road; Algorithm design and analysis; Educational institutions; Genetics; Heuristic algorithms; Neural networks; Optimization; Roads; Genetic BP Neural Network; The delayed time; coordinate signal control; the traditional analytical algorithm;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/IMCCC.2013.323