摘要
以单条公交线路公交为研究对象,考虑乘客需求的不确定性,建立发车频率确定和非均匀发车间隔优化的双层模型,从系统的角度探讨公交车辆调度问题.下层模型中,以乘客候车时间成本和公交公司运营成本最少为目标函数,求得各时段最优发车频率.以下层模型为基础,上层模型以乘客候车时间最短为目标函数,利用遗传算法求解双层模型,求得各时段不均匀发车间隔,构建相应指标体系对方案进行评价.以广州市广286路公交为例,论证该方法可行性.结果表明,与均匀发车间隔调度方案相比,非均匀发车间隔调度方案能节约乘客候车时间和公交运营成本.
Taking a single bus line as the research object,the bi-level programming model was established to determine the frequency of the hair car and the non-uniform interval optimization considering the uncertainty of passenger demand,and the problem of bus vehicle scheduling was analyzed from the perspective of the system.In the lower model,the target functions were the minimum cost of passenger waiting time and the operating cost of the bus company.The optimal departure frequency under different intervals could be sloved in this model.Based on the lower level model,the upper model took the shortest waiting time of passengers as the objective function.Using genetic algorithm to solve the bi-model programming the non-uniform departure intervals of different periods were figured out and the corresponding index system was constructed to evaluate different schemes.Finally,this method was verified by the example of GuangZhou guang-286 bus.The results show that the non-uniform departure interval could save passenger’s waiting time and Bus operating costs,compared with the uniform departure interval scheduling scheme.
出处
《武汉理工大学学报（交通科学与工程版）》
2017年第6期978-983,共6页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
公交调度
需求不确定
非均匀发车间隔
双层模型
遗传算法
bus scheduling
demand uncertainty
non-uniform departure interval
bi-level programming model
genetic algorithm
