摘要
对交通信号动态优化模型的求解算法进行了研究,给出了目标函数中复杂的分段函数及积分上限中含有未知量的方程的数值处理方法,并针对问题特点,提出了该模型的遗传算法求解方法.为检验模型和算法,进行了一定规模的数值仿真计算.计算结果表明,所设计算法具有较快的收敛速度而模型具有良好的控制效果.
The solution method to a new model for real-time traffic signal timing is studied. The numerical ways to deal with the piecewise functions in the objective and to solve the equations with unknowns contained in the upper limit of an integral are designed. And then a genetic algorithm is presented for this model. In order to test the model and the algorithm, numerical simulations are performed. The numerical results show that the algorithm is effective and efficient.
出处
《武汉大学学报(工学版)》
CAS
CSCD
北大核心
2006年第6期92-95,共4页
Engineering Journal of Wuhan University
基金
国家自然科学基金数学天元基金资助(A0224017)
关键词
信号配时
实时优化
延误函数
遗传算法
signal timing
real-time optimization
delay function
genetic algorithm