考虑客流约束的出租车服务台多目标优化模型  

Taxicab Service Counter Optimization Model Considering Passenger Flow Restriction

作　　者：林建新[1] 王皖东 丁奇 LIN Jian-xin;WANG Wan-dong;DING Qi(Beijing Urban Transportation Infrastructure Engineering Technology Research Center,Beijing University of Civil Engineering and Architecture, Beijing 100044, China;Beijing Collaborative Innovation Center for Metropolitan Transportation, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;School of Architechture and Llrban Planning, Beijing University of Civil Engineering and Archtecture, Beijing 100044, China)

机构地区：[1]北京建筑大学北京市城市交通基础设施建设工程技术研究中心,北京100044 [2]北京建筑大学首都世界城市顺畅交通协同创新中心,北京100044 [3]北京建筑大学建筑与城市规划学院,北京100044

出　　处：《科学技术与工程》2021年第14期5975-5980,共6页Science Technology and Engineering

基　　金：国家自然科学基金(5170080357);北京市自然科学基金(8184066)。

摘　　要：为提高客运枢纽场站服务水平,归纳总结出租车蓄车场上客区服务台布局类型,引入排队论方法,构建了考虑旅客体验(旅客排队长度、时间、最大走行距离)及组织方管理难易程度(上客区面积)的多阶段多目标整数优化模型。以南京南站为例的数值仿真结果表明:多目标优化模型能够使综合指标优化42%。此外,相较单一布局下的优化,综合考虑多种布局的方案优化效果更加显著。In order to improve the service level of the transportation hub for passengers,the different layout types of the service counters in the pick-up zones were summarized.Drawing upon the queuing theory,a multi-period and multi-objective integrated programming model(MPOIPM)was constructed.The passengers'experience(i.e.,the average queuing length and time and the maximum traveling distance)and management difficulty were taken as significant indicators,a case study was conducted on the Taking Nanjing South Railway Station.The results show that the proposed optimization model(MPOIPM)can optimize the composite indicator by 42%.Moreover,compared with the optimization under a single layout,the optimization effect turns out to be more significant when considering multiple configurations.

关 键 词：交通工程 布局优化 多目标规划 出租车服务台 客流约束 

分 类 号：U268.6[机械工程—车辆工程]