• Yihui WangEmail author
  • Bin Ning
  • Ton van den Boom
  • Bart De Schutter
Part of the Advances in Industrial Control book series (AIC)


Urban rail traffic plays a key role in public transportation since it combines high transport capacity and high efficiency. More specifically, a safe, fast, punctual, energy-efficient, and comfortable railway system is important for the economic, environmental, and social objectives of a country or a city. The main focus of this book is on saving energy in railway operations and on enhancing the passenger satisfaction, which can be achieved via optimal trajectory planning for trains and passenger demand-oriented train scheduling by utilizing several mathematical tools and programming methods like MILP, SQP, etc. In this chapter, we provide a brief introduction to railway operations and then present the structure of this book.


Rail Transit Railway System Train Control Train Schedule Urban Rail Transit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Pachl J (2009) Railway operation and control, 2nd edn. Gorham Printing, CentraliaGoogle Scholar
  2. 2.
    Caimi G (2009) Algorithmic decision support for train scheduling in a large and highly utilised railway network. Ph.D. thesis, ETH Zürich, SwitzerlandGoogle Scholar
  3. 3.
    Liebchen C (2006) Periodic timetable optimization in public transport. Ph.D. thesis, Technique University of Berlin, Berlin, GermanyGoogle Scholar
  4. 4.
    Lüthi M (2009) Improving the efficiency of heavily used railway networks through integrated real-time rescheduling. Ph.D. thesis, ETH Zürich, SwitzerlandGoogle Scholar
  5. 5.
    IEEE 1474.1 (2004) IEEE Standard for Communications-Based Train Control (CBTC) Performance and Functional RequirementsGoogle Scholar
  6. 6.
    Howlett P, Pudney P (1995) Energy-efficient train control. Advances in industrial control. Springer, LondonGoogle Scholar
  7. 7.
    Franke R, Meyer M, Terwiesch P (2002) Optimal control of the driving of trains. Automatisierungstechnik 50:606–614Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Yihui Wang
    • 1
    Email author
  • Bin Ning
    • 1
  • Ton van den Boom
    • 2
  • Bart De Schutter
    • 2
  1. 1.State Key Laboratory of Rail Traffic Control and SafetyBeijing Jiaotong UniversityBeijingChina
  2. 2.Delft Center for Systems and ControlDelft University of TechnologyDelftThe Netherlands

Personalised recommendations