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  • 标题:Optimize Traffic Police Arrangement in Easy Congested Area based on Improved Particle Swarm Optimization
  • 本地全文:下载
  • 作者:Ningyu Zhao ; Ningyu Zhao ; Zhiheng Li
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2014
  • 卷号:138
  • 页码:408-417
  • DOI:10.1016/j.sbspro.2014.07.219
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn order to ease the traffic jams in easy congested area, it needs to arrange some traffic policemen to direct the traffic in the congested intersections. Aiming at letting the traffic policemen arrive at the congested intersections quickly, the model of arranging the traffic police is established. This model is a complex optimization problem so it is solved by an intelligent optimization algorithm, Particle Swarm Optimization Algorithm. A little change is given to the algorithm so that it is more suitable for the model. Also the process of solving the model with improved Particle Swarm Optimization is given. This model can work out the optimal positions of the traffic police kiosks and the number of policemen in each police kiosk, so the best plan of arranging the police in the easy congested area is acquired. It proves that using this method to arrange the traffic police in the easy congested area can ensure the policemen arriving at the congested intersections in minimum time, preventing the congestion or the spreading of the congestion as soon as possible.
  • 关键词:traffice congestion;traffic police;easy congested area;arrengement plan;PSO
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