Title :
Research of traffic assignment algorithm based on adaptive genetic algorithm
Author :
Guo, Xingang ; Song, Yu ; Wu, Wei
Author_Institution :
Comput. Sci. & Eng., Chang Chun Univ. of Technol., Chang Chun, China
Abstract :
Intelligent traffic management system is an important component of the intelligent transportation system. Urban traffic control system is a large system, and it has uncertain object, high demand of real-time control, and the structure is very complex. In this paper, on the basis of the study of Traffic Flow in traffic intersection, as to multi-phase traffic intersection, the writer presents a traffic signal timing optimization algorithm based on an adaptive genetic algorithm so as to reduce the queuing time and improve the traffic capacity of intersections.
Keywords :
genetic algorithms; road traffic; traffic control; traffic engineering computing; adaptive genetic algorithm; intelligent traffic management system; intelligent transportation system; multiphase traffic intersection; queuing time; traffic assignment algorithm; traffic capacity; traffic flow; traffic signal timing optimization; urban traffic control system; Convergence; Delay; Genetic algorithms; Genetics; Optimization; Vehicles; Intelligent traffic; genetic algorithm; timing control;
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9599-3
DOI :
10.1109/CCIENG.2011.6007973