Optimization of Asymmetric Timetable in Urban Rail Transit Under the Scenario of Tidal Passenger Flow

被引：0
作者：
Zhang, Jinghui [1 ,2 ]
Chen, Xi [1 ,2 ]
Li, Borui [3 ]
Liu, Baoming [3 ]
机构：
[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
[2] Tsinghua Univ, BNRist, Beijing 100084, Peoples R China
[3] Natl Innovat Ctr High Speed Train, Qingdao 266081, Peoples R China
来源：
2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年
关键词：
Urban Rail Transit; Train Scheduling; Timetable; Tidal Passenger Flow; Regenerative Energy; DEMAND; TIME;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In urban rail transit, timetable optimization is an important approach to increase energy efficiency and improve passenger experience. With a limited number of inventory trains, it is a challenge to design an asymmetric timetable to match the train flow with the passenger flow while conserving energy as much as possible. In this work, a timetable-based state equation framework is developed and a nonlinear multi-objective optimization problem is established for energy efficiency and passenger experience. A case study illustrates that incorporating passenger and energy flow into train flow optimization helps to improve energy efficiency and passenger experience.
引用
收藏
页码：1910 / 1915
页数：6
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