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An Optimization Model for Train Rescheduling Problem in a Disrupted Rail Network

Bafandkar, Shayan | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56816 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Shafahi, Yousef
  7. Abstract:
  8. Nowadays a lot of people from all around the world travel by inter-city trains and this phenomenon is the direct result of the fact that this travel mode is more affordable and relatively comfortable in comparison to other modes. Furthermore, recent developments such as the emergence of high-speed rail lines have made rail transportation able to compete with other means of transportation such as airplanes. Therefore, the practice of maximizing train networks’ resilience against probable disruptions has drawn significant attention to itself. This study introduces a novel methodology in which train network resilience can be maximized through three stages. In the first stage, the critical nodes of a train network are determined considering both topological features as well as passengers’ behavior, then the network is simplified based on the so-called nodes. In the second stage, a Mixed Integer Linear Programming (MILP) model is developed and solved for train rescheduling. Eventually, the resilience level of the network is evaluated using trains’ total travel time which is a performance metric. The methodology used in this study is novel by the means of its scale, since it can carry out train rescheduling in a medium-scale train network which is more complicated than the rescheduling process of trains in a single block or line
  9. Keywords:
  10. Optimization ; Train Scheduling ; Disrupted Train Network ; Train Network’s Resilience ; Ttrain Network Critical Nodes

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