Robust optimization of train timetable and energy efficiency in urban rail transit: A two-stage approach

Author:

Qu Yunchao,Wang Huan,Wu Jianjun,Yang Xin,Yin Haodong,Zhou Li

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Research Foundation

State Key Laboratory of Rail Traffic Control and Safety

Beijing Intelligent Logisitics System Collaborative Innovation Center

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference49 articles.

1. The urban transport planning with uncertainty in demand and travel time: A comparison of two defuzzification methods;Avila-Torres;Journal of Ambient Intelligence and Humanized Computing,2017

2. Optimization of urban bus operation frequency under common route condition with rail transit;Bin;Frontiers of Engineering Management,2017

3. Autonomous shuttle bus service timetabling and vehicle scheduling using skip-stop tactic;Cao;Transportation Research Part C: Emerging Technologies,2019

4. Energy saving in railway timetabling: A bi-objective evolutionary approach for computing alternative running times;Chevrier;Transportation Research Part C Emerging Technologies,2013

5. Multiple depot vehicle scheduling with controlled trip shifting;Desfontaines;Transportation Research Part B: Methodological,2018

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