| 基于快速退火和PSO算法的港口交通信号控制方法 |
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| 引用本文： | 王亮,卢晓东,程韫琳,张军,戈美净.基于快速退火和PSO算法的港口交通信号控制方法[J].中国科技信息,2011(18):104-105. |
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| 作者姓名： | 王亮 卢晓东 程韫琳 张军 戈美净 |
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| 作者单位： | 1. 天津市公安交通管理局,300211
2. 天津大学电气与自动化工程学院,300072 |
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| 摘 要： | 针对港口主要交叉口易形成堵塞,延误较大的特点,提出了对全局最优进行快速退火的微粒群算法。该算法不仅能避免陷入局部极值,最主要的是计算量增加小,效率高。仿真结果表明,与其他智能方法相比,在对港口交通信号进行配时时,本算法能获得更低的车辆平均延误和平均停车率。
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| 关 键 词： | 港口交通 微粒群 模拟退火 回火退火 |
Port Traffic Signal Control Method Based on Fast Annealing and PSO Algorithm |
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| Wang Liang Lu Xiaodong Cheng Yunlin Zhang Jun Ge Meijing Traffic facilities management office,Public security traffic administration of Tianjin Electrical , automation engineering institute,Tianjin University.Port Traffic Signal Control Method Based on Fast Annealing and PSO Algorithm[J].CHINA SCIENCE AND TECHNOLOGY INFORMATION,2011(18):104-105. |
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| Authors: | Wang Liang Lu Xiaodong Cheng Yunlin Zhang Jun Ge Meijing Traffic facilities management office Public security traffic administration of Tianjin Electrical automation engineering institute Tianjin University |
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| Institution: | Wang Liang1 Lu Xiaodong1 Cheng Yunlin1 Zhang Jun2 Ge Meijing21 Traffic facilities management office,Public security traffic administration of Tianjin2 Electrical and automation engineering institute,Tianjin University |
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| Abstract: | A sort of particle swarm optimization algorithm with gbest flash annealed is proposed according to the problem that the port main isolated intersection traffic is easy to form traffic jams.Not only can this algorithm avoid the optimal value getting into a local extremum,but also simple and efficient.Simulation results show that this algorithm can get lower average delay and stop rate of vehicles when timing to port traffic signal compared with other intelligence methods. |
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| Keywords: | port traffic particle swarm simulated annealing backfire and anneal |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
