基于GA-PDD的干线信号协调控制优化

Arterial Signal Coordination Control Based on the Proportional Distribution of Decoding Methods of Genetic Algorithm

针对城市交通干线负荷量大、信号配时计算效率低、协调优化约束条件多的特点,提出了基于比例分配解码方法的遗传算法(GA-PDD)协调控制策略,采用交通波理论建立了排队长度预测模型并以干线系统内车辆平均延误时间最小为目标函数建立了遗传算法优化模型,采用比例分配解码方法来进行求解。分别采用单点信号控制、定时协调信号控制和基于GA-PDD的协调控制3种控制策略对某城市干线实例进行对比仿真实验,仿真结果表明,随着调用周期的增大,GA-PDD控制策略的车辆平均停车次数和延误时间逐渐减小,调用周期在15 min及以上时,优于单点信号控制和定时协调控制,验证了不频繁剧烈地改变干线上的信号周期和相位差时,GA-PDD控制策略具有可行性和有效性。

Regarding the characteristics that urban arteries take a lot of traffic load,low computational efficiency for signal timing and a lot of constraints for coordination and optimization,a genetic algorithm coordination control strategy based on the proportional distribution of decoding method（GA-PDD） is proposed.The queue length prediction model is built based on traffic flow wave theory and the genetic algorithm optimization model is established,in which arterial average delay time is the smallest and which is solved by proportional distribution decoding method.For an instance,single-point signal control,timing of coordinated signal control and GAPDD signal control are used to simulate an urban arterial traffic to make detail comparisons and analysis of the control parameters.The results show that with the increase of call cycle,the average number of vehicle stopped and delay time are decreased when using the GA-PDD control strategy.When the call cycle is 15 min or more,the results of GA-PDD is better than single point control and timing signal coordination control,and it is verified that GA-PDD control strategy has feasibility and effectiveness under the condition that arterial signal cycle and phase change infrequently and drastically.