Best papers of the 9th International Conference on Railway Operations Modelling and Analysis (RailBeijing 2021), 3-7 November, 2021, Beijing, China.

A selection of the Best Papers of RailBeijing 2021 were published in the Virtual Special Issue on the Best Papers of RailBeijing 2021 in the Journal of Rail Transport Planning & Management with Guest Editors Lingyun Meng, Yun Bai and Nie Lei.

  • Yongqiu Zhu, Pengling Wang and Francesco Corman. A deep reinforcement learning framework for delay management with passenger re-routing.
  • Norman Weik. Macroscopic traffic flow in railway systems: a discussion of the applicability of fundamental diagrams.
  • Yongxiang Zhang, Tao Feng, Xiaowei Liu, Qingwei Zhong, Xu Yan and Qiyuan Peng. A price-based iterative solution framework for integrating line planning and train timetabling problems.
  • Xiaojie Luan and Francesco Corman. Passenger-oriented traffic management for railway networks: an integrated supply-demand approach based on a discrete choice model.
  • Marko Kapetanović, Alfredo Núñez, Niels van Oort and Rob Goverde. Analysis of hydrogen-powered propulsion system alternatives for diesel-electric multiple unit regional trains.
  • Thomas Schlechte, Ralf Borndörfer, Jonas Denißen, Simon Heller, Torsten Klug, Michael Kuepper, Niels Lindner, Markus Reuther, Andreas Soehlke and William Steadman. Microscopic timetable optimization for a moving block system.
  • Martin Joborn and Zohreh Ranjbar. Understanding causes of unpunctual trains: delay contribution and critical disturbances.
  • Christian Liebchen, Steffen Dutsch, Shiguang Jin, Norio Tomii and Yihui Wang. The ring never relieves.
  • Marta Leonina Tessitore, Marcella Samà, Andrea D’Ariano and Dario Pacciarelli. Assessment of disturbance recovery strategies in a busy metro system.
  • Jia Ning, Qiyuan Peng, Yongqiu Zhu, Yu Jiang and Otto A. Nielsen. A bi-objective optimization model for the last train timetabling problem.
  • Egidio Quaglietta, Panagiotis Spartalis, Meng Wang, Rob Goverde and Paul van Koningsbruggen. Modelling and analysis of Virtual Coupling with dynamic safety margin considering risk factors in railway operations.
  • Francesco Corman and Jonas Henken. Estimating aggregate railway performance from realized empirical data.
  • Jingru Huang, Yue Chen, Jiajun Hu and Qi Xu Relationship between built environment characteristics of TOD and subway ridership: a station level of causal and regression analysis in Beijing.