Title :
Immune-based particle swarm algorithm for variable speed limits control
Author :
Fu Jiansheng ; Zu hui ; Xie yaohua ; Ma lu
Author_Institution :
China Merchants Chongqing Commun. Res. & Design Inst. Co., Ltd., Chongqing, China
Abstract :
The steady increase of traffic demand over the past decades has led to a high rate of congestion and traffic accidents on many parts of road networks. It is essential to solve traffic congestion and traffic accidents. Variable speed limit control is an effective method to relieve traffic congestion, improve traffic safety and steady traffic flow. In this paper, we propose a novel variable speed limit control method based on immune particle swarm algorithm. The algorithm can maintain the balance of vehicle speed. It also can alleviate the occurrence of traffic congestion and steady traffic flow. Immune-based particle swarm algorithm for variable speed limit control provides a new approach to solve the unbalance of the speed and avoid traffic accidents.
Keywords :
particle swarm optimisation; road accidents; road safety; road traffic; road vehicles; velocity control; immune-based particle swarm algorithm; road networks; steady traffic flow; traffic accidents; traffic congestion; traffic safety; variable speed limit control; vehicle speed; Accidents; Convergence; Heuristic algorithms; Immune system; Optimization; Particle swarm optimization; Vehicles; Particle Swarm; balance of speed; immune system; variable speed limits control;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7052860