基于改进Lagrange乘子法的交通信号配时优化研究

为提高交叉口的机动车通行效率及环境效益,采用改进罚参数来构造一种新的Lagrange乘子法对交叉路口的交通信号进行优化配时。通过权重系数建立车辆延误与尾气排放的数学模型,利用改进Lagrange乘子法进行优化,将其结果与两种典型智能算法的优化结果进行对比,并利用VISSIM(Verkehr in Stadten Simulation)微观交通可视化仿真软件进行验证。实验结果表明,该方法优化的信号配时使车辆延误降低19.89%,尾气排放量降低2.379%,可见大比例优化了交叉口的车辆延误,同时可以降低尾气排放量。

Traffic Signal Timing Optimization Based on Improved Lagrange Multiplier Method

In order to improve the traffic efficiency and environmental benefits of intersections,a new Lagrange multiplier method is proposed to optimize the traffic signal timing at intersections by improving penalty parameters.The mathematical model of vehicle delay and exhaust emission is established by weight coefficient,and optimized by improved Lagrange multiplier method.The results are compared with those of two typical intelligent algorithms,and verified by VISSIM(Verkehr in stadten simulation)microscopic traffic visualization simulation software.The experimental results show that the optimized signal timing can reduce vehicle delay by 19.89%and exhaust emissions by 2.379%.It can be seen that vehicle delay at intersections is greatly optimized and exhaust emissions can be reduced at the same time.