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Rationalized Timetabling Using a Simulation Tool: A Paradigm Shift in Indian Railways

Author

Listed:
  • K. P. Anoop

    (Industrial Engineering and Operations Research, Indian Institute of Technology Bombay, Mumbai 400076, India)

  • A. Madhukumar Reddy

    (Railway Board, Rail Bhavan, New Delhi 110001, India)

  • Mandeep Singh Bhatia

    (Railway Board, Rail Bhavan, New Delhi 110001, India)

  • Amit Kumar Jain

    (Centre for Railway Information Systems, Chanakyapuri, New Delhi 110021, India)

  • R. Gopalakrishnan

    (Centre for Railway Information Systems, Chanakyapuri, New Delhi 110021, India)

  • Merajus Salekin

    (Centre for Railway Information Systems, Chanakyapuri, New Delhi 110021, India)

  • Samay Pritam Singh

    (Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India)

  • R. V. Satwik

    (Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India)

  • Sudarshan Pulapadi

    (Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India)

  • Chandrashekhar Bobade

    (Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India)

  • I. Sidhartha Kumar

    (Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India)

  • Shivasubramanian Gopalakrishnan

    (Department of Mechanical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India)

  • Kumar Appaiah

    (Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India)

  • Narayan Rangaraj

    (Industrial Engineering and Operations Research, Indian Institute of Technology Bombay, Mumbai 400076, India)

  • Madhu N. Belur

    (Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India)

Abstract

During the year 2020, Indian Railways undertook an extensive timetabling exercise for its entire network. The timetable for its six principal routes known as the golden quadrilateral + diagonals (GQD) was generated using a rail traffic simulation tool. The simulation tool and the methodology had to be customized to handle the complex technical requirements of the GQD network, which spans more than 9,000 km. Challenges related to using and integrating data into the simulator also had to be addressed. This was the first time that a simulation software tool of this kind was used for timetabling in Indian Railways, and hence, there were uncertainties regarding the timely delivery, which gave rise to additional challenges to the overall effort. This paper focuses on these challenges and the managerial and human aspects of this massive timetabling exercise. It also explains how this project leverages the benefits of combining top-down and bottom-up approaches in timetabling and how it sets a new paradigm for network-wide timetabling in Indian Railways.

Suggested Citation

  • K. P. Anoop & A. Madhukumar Reddy & Mandeep Singh Bhatia & Amit Kumar Jain & R. Gopalakrishnan & Merajus Salekin & Samay Pritam Singh & R. V. Satwik & Sudarshan Pulapadi & Chandrashekhar Bobade & I. S, 2023. "Rationalized Timetabling Using a Simulation Tool: A Paradigm Shift in Indian Railways," Interfaces, INFORMS, vol. 53(4), pages 295-306, July.
    • Handle: RePEc:inm:orinte:v:53:y:2023:i:4:p:295-306
    DOI: 10.1287/inte.2023.1158
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    References listed on IDEAS

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    1. Ralf Borndörfer & Torsten Klug & Thomas Schlechte & Armin Fügenschuh & Thilo Schang & Hanno Schülldorf, 2016. "The Freight Train Routing Problem for Congested Railway Networks with Mixed Traffic," Transportation Science, INFORMS, vol. 50(2), pages 408-423, May.
    2. Leo Kroon & Dennis Huisman & Erwin Abbink & Pieter-Jan Fioole & Matteo Fischetti & Gábor Maróti & Alexander Schrijver & Adri Steenbeek & Roelof Ybema, 2009. "The New Dutch Timetable: The OR Revolution," Interfaces, INFORMS, vol. 39(1), pages 6-17, February.
    3. Xiaoming Xu & Keping Li & Lixing Yang & Ziyou Gao, 2019. "An efficient train scheduling algorithm on a single-track railway system," Journal of Scheduling, Springer, vol. 22(1), pages 85-105, February.
    4. Higgins, A. & Kozan, E. & Ferreira, L., 1996. "Optimal scheduling of trains on a single line track," Transportation Research Part B: Methodological, Elsevier, vol. 30(2), pages 147-161, April.
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