Passenger-oriented traffic control for rail networks: An optimization model considering crowding effects on passenger choices and train operations
In public transport, e.g., railways, crowding is of major influence on passenger satisfaction and also on system performance. The authors study the passenger-oriented traffic control problem by means of integrated optimization, particularly considering the crowding effects on passenger route choices and on train traffic. The goal is to find the system optimum solution by adapting train schedules and rerouting passengers. A mixed-integer nonlinear programming (MINLP) model is proposed, identifying the train orders and departure and arrival times, as well as finding the best route for passengers, with the objective of minimizing passenger disutility and train delay. In the model, the authors allow free splits of the passengers in a group onto different routes and reasonable passenger transfers between trains. The authors value train crowding by using time multiplier, which is defined as a piecewise constant function of the train crowding ratio (also called load factor), indicating that passengers perceive a longer travel time on a more crowded train. Moreover, the authors assume variations of the minimum train dwell time, caused by the alighting and boarding passengers. The nonlinear terms in the MINLP model are linearized by using an exact reformulation method and three transformation properties, resulting in an equivalent mixed-integer linear programming (MILP) model. In the experiences, the authors adopt a real-world railway network, i.e., the urban railway network in Zürich city, to examine the proposed approach. The results demonstrate the effectiveness of the model. The results show that, by considering the crowding effects, some passengers are forced to choose the routes that are less crowded but have larger travel/delay times, which leads to the improved passenger comfort and makes the planned train timetable less affected (in terms of delays). The authors also find that flexibility in train schedules brings more possibilities to serve better the passengers. Moreover, it is observed that if the train dwell time is highly sensitive to the alighting and boarding passengers, then the transport network will become vulnerable and less reliable, which should be avoided in real operations.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
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Supplemental Notes:
- © 2022 Xiaojie Luan and Francesco Corman. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Luan, Xiaojie
- Corman, Francesco
- Publication Date: 2022-4
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 239-272
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Serial:
- Transportation Research Part B: Methodological
- Volume: 158
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0191-2615
- Serial URL: http://www.sciencedirect.com/science/journal/01912615
Subject/Index Terms
- TRT Terms: Crowds; Mixed integer programming; Optimization; Passenger service; Rail transit; Route choice; Train operations
- Geographic Terms: Zurich (Switzerland)
- Subject Areas: Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Public Transportation; Railroads;
Filing Info
- Accession Number: 01839856
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 24 2022 5:26PM