A review of passenger-oriented railway rescheduling approaches

Author:

Sharma Bishal,Pellegrini Paola,Rodriguez Joaquin,Chaudhary Neeraj

Abstract

AbstractRailway operations are highly susceptible to delays and disruptions caused by various factors, such as technical issues, operational inefficiencies, and unforeseen events. To counter these delays and ensure efficient railway operations during real-time management, several rescheduling approaches can be implemented. Among these approaches, passenger-oriented rescheduling considers train rescheduling while taking passenger data into account, as opposed to operation-oriented rescheduling. This paper provides an overview of the former group of approaches. Particular focus is put on different ways passenger data is exploited to optimize rescheduling and on the measures, the approaches can decide on. The rescheduling measures typically considered vary from decisions on maintaining transfers, canceling trains, adding emergency trains, changing routes and orders of trains, skipping or adding stops at stations, short-turning trains, applying speed control, and modifying rolling stock compositions. In this regard, the paper presents a comprehensive analysis of real-time rescheduling approaches adopted in both the conventional railway and urban rail transit and points out possible directions for further research in the field.

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Transportation,Automotive Engineering

Reference47 articles.

1. Törnquist, J. (2006). Computer-based decision support for railway traffic scheduling and dispatching: A review of models and algorithms. In 5th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS’05). Schloss Dagstuhl-Leibniz-Zentrum für Informatik.

2. Cacchiani, V., Huisman, D., Kidd, M., et al. (2014). An overview of recovery models sand algorithms for real-time railway rescheduling. Transportation Research Part B: Methodological, 63, 15–37.

3. Fang, W., Yang, S., & Yao, X. (2015). A survey on problem models and solution approaches to rescheduling in railway networks. IEEE Transactions on Intelligent Transportation Systems, 16, 2997–3016.

4. Qu, W., Corman, F., & Lodewijks, G. (2015). A review of real time railway traffic management during disturbances. In International conference on computational logistics (pp. 658–672). Springer.

5. Josyula, S. P., & Törnquist Krasemann, J. (2017). Passenger-oriented railway traffic re-scheduling: A review of alternative strategies utilizing passenger flow data. In 7th International conference on railway operations modelling and analysis, Lille.

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