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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.
According to the principle of optimization and the theory of nonlinear complementarity, aiming at the problem of signal timing optimization in single-point intersection under mixed traffic condition, the optimization model of urban traffic control is proposed with delay time, parking number and traffic capacity as the performance indexes, Which is equivalent to the nonlinear complementary problem based on the green-light time, and gives a Newton algorithm for signal timing optimization.Examples show that this method is feasible and effective. Compared with the ant algorithm and the total traffic volume, The delay is greatly reduced and the simulation result and performance index are obviously improved when the saturation degree of each inlet channel is smaller.It proposes a new idea and a new method for the signal timing optimization of single point intersection under mixed traffic conditions .