基于免疫算法的高速公路协调优化控制研究

Research on Coordinated Control in Freeway Based on Immune Optimization Algorithm

为解决高速公路交通日益拥挤的状况,文中提出了基于人工免疫算法的高速公路匝道协调控制方法;针对高速公路实际情况采用字符编码方式对所有匝道依次编码,以高速公路最大流量、全局最小行程时间和入口平均等待时间三者作为抗原;搜索求得当某段意外堵塞情况时多个匝道协调控制的全局最优控制序数;最后,结合首都机场高速公路实际数据分别用免疫算法和遗传算法进行了仿真,结果表明本算法的有效性以及实时性。

Based on immune algorithm, a coordinated on--ramp control approach for freeway traffic is presented to solve the traffic jam problem. According to the application, maximum traffic capacity and minimum travel time and average time waste are used as antigen. All the ramps are encoded by character encoding method and the best control sequence are calculated. Based on the real traffic investigation data, the immune and GA algorithms are applied to simulate capital airport freeway. The result shows the validity of the presented method.