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作 者:于丽梅[1]
出 处:《计算机仿真》2014年第7期153-156,共4页Computer Simulation
基 金:河北省教育厅项目(ZD20131070)
摘 要:交通调度模型都以行驶状况正常前提为基础,没有充分考虑车辆随机减速引起拥堵时,司机行驶速度随机变化带来的意外突变性和延迟性。传统的调度方法以车辆速度在固定距离内是固定的观点建立模型,模型受到司机行驶速度突变的影响,存在较大的抖动和延迟,引起调度效率降低,调度误差较大。提出考虑车辆随机减速延迟因素的交通拥堵优化调度方法。建立车辆随机减速引起交通拥堵中的影响因子,获取在上述因子影响下的交通拥堵调度目标函数,同时获取调度过程中的车辆随机减速误差约束条件。对交通拥堵情况进行模拟退火操作,建立初始种群,构建对应的适应性函数,获取对应的约束条件,针对满足上述约束条件的染色体进行选择、交叉、变异、模拟退火操作,形成最优调度方案。实验结果表明,利用改进模型进行考虑车辆随机减速延迟的交通拥堵调度,能够提高车辆随机减速时车辆的调度效率。In this paper, an optimized traffic scheduling method was proposed with considering delay factors of vehicle random deceleration. Impact factors of random deceleration causing traffic jams were buih. And then an objective function for traffic scheduling under this factor and error constraints of the vehicle random deceleration were obtained. Simulated annealing operation was done with traffic congestion to establish the initial population. In addition, the corresponding fitness function was constructed, and the corresponding constraints were obtained. The chromosomes that meet those constraint conditions were operated with selection, crossover and mutation, simulated annea- ling, thus forming the optimal Scheduling scheme. Experimental results show that this improved model which consid- ered vehicle random deceleration delay can improve the efficiency of vehicle scheduling.
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