Abstract
Timetable scheduling plays a key role in daily operations of urban rail transit systems, as it determines the quality of service provided to passengers. In order to develop efficient timetable scheduling methods, it is necessary to develop a proper model to integrate timetable-related and passenger-related factors in urban rail network efficiently. In this paper, a novel passenger absorption model for passenger- centric urban rail networks is established. The model explicitly integrates time-varying passenger origin-destination demands and the departure frequency of each line for real-time timetable scheduling. Then, a model predictive control (MPC) method for the timetable scheduling problem is proposed based on the developed model. The resulting MPC optimization problem can be formulated as a mixed-integer programming (MILP) problem, which can be solved efficiently by using the existing MILP solvers. The effectiveness of the absorption model and the corresponding MILP-based MPC approach is illustrated through the case study based on two Beijing subway lines.
Original language | English |
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Title of host publication | Proceedings 2022 IEEE Conference on Control Technology and Applications, CCTA 2022 |
Publisher | IEEE |
Pages | 1147-1152 |
ISBN (Electronic) | 978-1-6654-7338-5 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 IEEE Conference on Control Technology and Applications, CCTA 2022 - Trieste, Italy Duration: 23 Aug 2022 → 25 Aug 2022 |
Conference
Conference | 2022 IEEE Conference on Control Technology and Applications, CCTA 2022 |
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Country/Territory | Italy |
City | Trieste |
Period | 23/08/22 → 25/08/22 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.