Real-time integrated train rescheduling and rolling stock circulation planning for a metro line under disruptions
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Real-time integrated train rescheduling and rolling stock circulation planning for a metro line under disruptions
Authors
Keywords
Metro lines, Complete track blockage, Railway traffic management, Rolling stock circulation, Short-turning, Mixed integer linear programming
Journal
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
Volume 152, Issue -, Pages 87-117
Publisher
Elsevier BV
Online
2021-09-02
DOI
10.1016/j.trb.2021.08.003
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Timetable Coordination in a Rail Transit Network with Time-Dependent Passenger Demand
- (2021) Jiateng Yin et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Coupling time-indexed and big-M formulations for real-time train scheduling during metro service disruptions
- (2020) Yeran Huang et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Interactions and Equilibrium Between Rescheduling Train Traffic and Routing Passengers in Microscopic Delay Management: A Game Theoretical Study
- (2020) Francesco Corman TRANSPORTATION SCIENCE
- Railway timetable rescheduling with flexible stopping and flexible short-turning during disruptions
- (2019) Yongqiu Zhu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Dispatching High-Speed Rail Trains via Utilizing the Reverse Direction Track: Adaptive Rescheduling Strategies and Application
- (2019) Sairong Peng et al. Sustainability
- Microscopic optimization model and algorithm for integrating train timetabling and track maintenance task scheduling
- (2019) Yongxiang Zhang et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Integration of real-time traffic management and train control for rail networks - Part 1: Optimization problems and solution approaches
- (2018) Xiaojie Luan et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Macroscopic multiple-station short-turning model in case of complete railway blockages
- (2018) Nadjla Ghaemi et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Passenger demand oriented train scheduling and rolling stock circulation planning for an urban rail transit line
- (2018) Yihui Wang et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A Branch-and-Price algorithm for railway rolling stock rescheduling
- (2017) Richard M. Lusby et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Joint optimal train regulation and passenger flow control strategy for high-frequency metro lines
- (2017) Shukai Li et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A train rescheduling model integrating speed management during disruptions of high-speed traffic under a quasi-moving block system
- (2017) Peijuan Xu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A microscopic model for optimal train short-turnings during complete blockages
- (2017) Nadjla Ghaemi et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches
- (2017) Jiateng Yin et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Real-time automatic rescheduling strategy for an urban rail line by integrating the information of fault handling
- (2017) Yuan Gao et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- The multi-objective railway timetable rescheduling problem
- (2017) Stefan Binder et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Passenger oriented railway disruption management by adapting timetables and rolling stock schedules
- (2017) Lucas P. Veelenturf et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Integrated optimization of regular train schedule and train circulation plan for urban rail transit lines
- (2017) Yihui Wang et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Emergency Train Scheduling on Chinese High-Speed Railways
- (2017) Yu-Jun Zheng TRANSPORTATION SCIENCE
- Maintenance Appointments in Railway Rolling Stock Rescheduling
- (2017) Joris C. Wagenaar et al. TRANSPORTATION SCIENCE
- Integrated stochastic optimization approaches for tactical scheduling of trains and railway infrastructure maintenance
- (2017) Andrea D’Ariano et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Rescheduling subway trains by a discrete event model considering service balance performance
- (2016) Xiaoming Xu et al. APPLIED MATHEMATICAL MODELLING
- Robust Model Predictive Control for Train Regulation in Underground Railway Transportation
- (2016) Shukai Li et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Rescheduling a metro line in an over-crowded situation after disruptions
- (2016) Yuan Gao et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach
- (2016) Jiateng Yin et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A rolling horizon approach to the high speed train rescheduling problem in case of a partial segment blockage
- (2016) Shuguang Zhan et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- A Railway Timetable Rescheduling Approach for Handling Large-Scale Disruptions
- (2016) Lucas P. Veelenturf et al. TRANSPORTATION SCIENCE
- An Integrated Control Model for Headway Regulation and Energy Saving in Urban Rail Transit
- (2015) Bin Ning et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Real-time high-speed train rescheduling in case of a complete blockage
- (2015) Shuguang Zhan et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- An overview of recovery models and algorithms for real-time railway rescheduling
- (2014) Valentina Cacchiani et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Balanced train timetabling on a single-line railway with optimized velocity
- (2013) Xiaoming Xu et al. APPLIED MATHEMATICAL MODELLING
- Adjusting a railway timetable in case of partial or complete blockades
- (2013) Ilse Louwerse et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Evaluating Disturbance Robustness of Railway Schedules
- (2013) Francesco Corman et al. Journal of Intelligent Transportation Systems
- Optimal trajectory planning for trains – A pseudospectral method and a mixed integer linear programming approach
- (2013) Yihui Wang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Recovery of disruptions in rapid transit networks
- (2013) Luis Cadarso et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Disruption Recovery in Passenger Railways
- (2013) Brendan Pender et al. TRANSPORTATION RESEARCH RECORD
- Modelling disruptions and resolving conflicts optimally in a railway schedule
- (2012) Sundaravalli Narayanaswami et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Assessment of Advanced Dispatching Measures for Recovering Disrupted Railway Traffic Situations
- (2012) Francesco Corman et al. TRANSPORTATION RESEARCH RECORD
- Robust single-track train dispatching model under a dynamic and stochastic environment: A scenario-based rolling horizon solution approach
- (2011) Lingyun Meng et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Robust rolling stock in rapid transit networks
- (2010) Luis Cadarso et al. COMPUTERS & OPERATIONS RESEARCH
- Train Timetable Problem on a Single-Line Railway With Fuzzy Passenger Demand
- (2009) Lixing Yang et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- A tabu search algorithm for rerouting trains during rail operations
- (2009) Francesco Corman et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Circulation of railway rolling stock: a branch-and-price approach
- (2007) Marc Peeters et al. COMPUTERS & OPERATIONS RESEARCH
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started