摘要
根据最优化原理与非线性互补理论,针对混合交通下单点交叉口信号优化配时问题,以延误时间、停车次数和通行能力作为性能指标,研究了城市交通控制的优化模型,提出了与之等价的基于绿灯时间的非线性互补问题,并给出了信号优化配时的牛顿算法.算例表明此方法可行有效,在道路等级相差悬殊及交通量相当的情况下,较蚂蚁算法,总延误有很大的减少;在各进口道饱和度较小的情况下,较仿真结果,性能指标有明显提高.为混合交通下单点交叉口信号优化配时研究提出一种新思路和新方法.
This paper discussed the optimization model of urban traffic control. It took delay time, number of stopping and traffic capacity as the performance indicators for single-point intersection signal timing under mixed traffic conditions. By using the Optimization method and nonlinear complementarity theory, signal timing optimization model was formulated as a nonlinear complementarity problem where the variables are green time of phases at intersections and Newton method for signal optimization timing was presented. The results of actual calculation indicate that Newton method is feasible. Under the conditions that the two phases have the significant difference grades and the same amount of traffic volume, there is a great decrease in total delay over Ants algorithm. Furthermore, Newton method is better than simulation on performance when the saturation of lane group is smaller. New ideas and methods are presented for single-point intersection signal optimization timing under the mixed traffic conditions.
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2010年第1期184-191,共8页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(70672023)
关键词
混合交通
单点交叉口
信号配时
非线性互补问题
牛顿算法
mixed traffic
single-point intersection
signal timing
nonlinear complementarity problems
Newton method
