文献详情
Demand-driven timetable and stop pattern cooperative optimization on an urban rail transit line
文献类型：期刊
通讯作者：Li, RM (reprint author), Tsinghua Univ, Dept Civil Engn, Beijing 100084, Peoples R China.
期刊名称：TRANSPORTATION PLANNING AND TECHNOLOGY影响因子和分区
年：2020
卷：43
期：1
页码：78-100
ISSN：0308-1060
关键词：Train timetable; train stop pattern; time-dependent passenger demand; mixed-integer linear programming; genetic algorithm; case study
所属部门：公共管理学院
摘要：This study proposes a modelling framework for the demand-driven train timetable and stop pattern cooperative optimization problem on an urban rail transit line. By embedding the train stop pattern into the timetable optimization process, we consider the minimization of total passenger travel time. A binary variable determination (BVD) method, which can transform complicated linear constraints into simple logical constraints, is proposed to calculate the large number of binary variables easily, a ...More
This study proposes a modelling framework for the demand-driven train timetable and stop pattern cooperative optimization problem on an urban rail transit line. By embedding the train stop pattern into the timetable optimization process, we consider the minimization of total passenger travel time. A binary variable determination (BVD) method, which can transform complicated linear constraints into simple logical constraints, is proposed to calculate the large number of binary variables easily, and a genetic algorithm (GA) based on the BVD method is designed to solve the proposed model. A case study of the Batong line in the Beijing subway network is conducted to test the proposed model and algorithm. This study can provide beneficial advice for the operator to improve the operational service of urban rail transit lines. ...Hide

DOI：10.1080/03081060.2020.1701757
百度学术：Demand-driven timetable and stop pattern cooperative optimization on an urban rail transit line
语言：外文
人气指数：2
浏览次数：2
基金：National Natural Science Foundation of ChinaNational Natural Science Foundation of China [71473259]
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