摘要
根据站点需求响应式公交能为乘客提供实时预约服务的优点,结合互联网环境下信息技术的时效性和共享性对站点需求响应式公交进行了优化。首先,阐述了公交运行方式,设计了公交调度系统的总体结构、模块功能和工作流程;接着,以提前预约需求为服务对象,构建了基于乘客匹配方法的静态车辆调度模型,采用遗传算法求解车辆初始行车计划;然后,以实时预约需求为服务对象,根据响应判断条件建立了动态车辆调度模型,利用插入算法动态调整车辆行车计划;最后,对重庆市479路公交线路进行了仿真实验。结果表明:动静态结合调度方法的站点需求响应式公交调度系统与纯动态调度方法相比,前者的乘客拒绝率、乘客等车时间分别减少了13.04%和50.32%,且前者的系统整体性能指标提升了11.78%。
According to the advantages of the station demand-responsive public transit which can provide real-time booking service for passengers,the transit was optimized through the timeliness and sharing of information technology in the Internet environment.Firstly,the operating mode of the public transit system was elaborated,and the general structure,modular functions and working flows of the public transit dispatching system were designed as well.Then,the static vehicle scheduling model based on passenger matching method was constructed with the advance booking demand as the service object,and the genetic algorithm was used to solve the initial driving plan of vehicles.Next,the dynamic vehicle scheduling model was established according to the response judgment conditions with the real-time reservation demand as the service object,and the driving plan was adjusted dynamically by the insertion algorithm.Finally,a simulation experiment was performed on the bus line 479 in Chongqing.The results showed that compared with the entirely dynamic dispatching system,the dispatching system of station demand-responsive public transit combining static and dynamic algorithms reduced the passenger refusal rate and passenger waiting time by 13.04%and 50.32%respectively,and increased the overall system performance by 11.78%.
作者
陆百川
黄镜轶
张冬梅
李玉莲
LU Baichuan;HUANG Jingyi;ZHANG Dongmei;LI Yulian(School of Traffic&Transportation,Chongqing Jiaotong University,Chongqing 400074,China;Key Lab of Traffic System&Safety in Mountain Cities,Chongqing Jiaotong University,Chongqing 400074,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2021年第2期34-43,共10页
Journal of Chongqing University of Technology：Natural Science
基金
中国博士后科学基金面上项目(2016M592645)
重庆交通大学研究生教育创新基金项目(2019s0120)。
关键词
站点需求响应式公交
静态调度
动态调度
调度系统优化
station demand-responsive public transit
static scheduling
dynamic scheduling
dispatching system optimization
