Port Traffic Signal Control Method Based on Gradient Descent and PSO Algorithm

摘要：

To improve the efficiency of particle swarm optimization (PSO) used in traffic signal timing, some methods were talked about. In this paper, a new method Particle Swarm Optimization Algorithm with Global Best Gradient Descent was proposed. Not only can this algorithm avoid the optimal value getting into a local extreme, but also simple and efficient. Through comparing the simulation results of the mentioned methods in this paper, the conclusion was drawn. Simulation results show that this algorithm can get a higher efficiency when applied to port traffic signal timing compared with other intelligence methods.

关键词： Port traffic particle swarm optimization gradient descent

作者: ZHANG Jun GE Mei-Jing SUN Mei-Na XUE Jun-Tao YANG Zheng-Ling LU Xiao-Dong

作者单位: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072 Public Security Traffic Administration, Tianjin 300211

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 7338-7342

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）