Title :
Application of GA on freeway traffic flow model
Author :
Ruishen, Lin ; Wu Zhijian ; Wu Jianhua
Author_Institution :
Sch. of Mech. & Electron. Eng. & Autom., Shanghai Univ., China
Abstract :
In this paper, the application of genetic algorithms (GAs) on traffic flow model in freeway is discussed, and an improved method is proposed. Simulation results indicate the advantages of GAs in robustness and identification precision
Keywords :
genetic algorithms; identification; road traffic; simulation; transportation; freeway; genetic algorithms; identification precision; road traffic; robustness; simulation; traffic flow model; Automation; Elevators; Genetic algorithms; Robustness; Traffic control;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862974
