Title :
A real-time intelligent control to urban road intersection
Author :
Xiao, Renyue ; Tian, Xiang ; Xiong, Yunhui
Author_Institution :
Dept. of Appl. Math., South China Univ. of Technol., Guangzhou, China
Abstract :
In order to solve the complex traffic flow problem, a novel six-phase intelligent signal-planning model is proposed to minimize the waiting duration that all cars spend on the road intersection. In this model, 24 hours are classified into several sections, and then, an improved neural network method is used to study and forecast the number of vehicles. Finally a genetic algorithm is employed to issue the real-time control. The results of simulation show that the method is correct and effective.
Keywords :
genetic algorithms; intelligent control; neural nets; real-time systems; road traffic; traffic engineering computing; cars; genetic algorithm; neural network; real-time intelligent control; six-phase intelligent signal-planning; traffic flow; urban road intersection; Automation; Communication system traffic control; Educational institutions; Genetic algorithms; Intelligent control; Mathematical model; Mathematics; Neural networks; Roads; Traffic control;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343716
