摘要
城市交通信号的在线控制可以归结为复杂动态环境下的优化问题,因此其配时算法要求具有快速的环境适应能力.生物免疫系统面对复杂的外部环境能够快速产生抗体,在变化的环境中体现出强大的优化能力和自适应能力.借鉴免疫机理提出的免疫算法在用于求解复杂动态环境下优化问题时能够取得较好效果.本文将免疫算法用于城市交通信号配时的在线优化控制,仿真结果表明该算法能够获得较好交通流实时控制效果.
Control of urban traffic signals is an optimization problem. Because traffic stream is uncertain, its optimization algorithm should have strong adaptability. The immune system can produce antibody fast under complex environment to remove threat to body, which show strong optimization ability and adaptability. The immune algorithm referring to immune mechanism has better performance to solving dynamic optimization problem. In this paper, immune algorithm is used to optimization phase time of traffic signals. Simulation results show its good performance.
出处
《华东交通大学学报》
2007年第1期53-56,共4页
Journal of East China Jiaotong University
基金
江西省教育厅科技项目(赣教技字[2005]123)
华东交通大学基金项目(304003)
关键词
交通信号控制
配时优化
免疫算法
control of traffic signals
optimization of phase time
immune algorithm
