Mitigating unfairness in urban rail transit operation: A mixed-integer linear programming approach-Reference-Cited by-同舟云学术

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Mitigating unfairness in urban rail transit operation: A mixed-integer linear programming approach

Published:2021-07 Issue: Volume:149 Page:418-442
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

Wu Yinghui,Yang Hai,Zhao Shuo,Shang Pan

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Research Grants Council, University Grants Committee

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference47 articles.

1. Minimizing passenger travel time in URT system adopting skip-stop strategy;Abdelhafiez;Journal of Rail Transport Planning & Management,2017

2. Automated timetable design for demand-oriented service on suburban railways;Albrecht;Public Transport,2009

3. Generation of optimal schedules for metro lines using model predictive control;Assis;Automatica,2004

4. Exact formulations and algorithm for the train timetabling problem with dynamic demand;Barrena;Computers & Operations Research,2014

5. Single-line rail rapid transit timetabling under dynamic passenger demand;Barrena;Transportation Research Part B: Methodological,2014

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4. State-dependent multi-agent discrete event simulation for urban rail transit passenger flow;Physica A: Statistical Mechanics and its Applications;2024-10

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