An optimization model for rescheduling trains to serve unpredicted large passenger flow
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Date
2019-09-13Type
- Conference Paper
ETH Bibliography
yes
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Abstract
As the separation of vertically-integrated organizations in railway transportation, not only the competitive but also the collaboration between different operating companies and different modes should be considered emphatically in the rapidly changing multimodal transportation market. This paper tries to solve the Train Timetable Problem for serving Unpredicted Large Passenger Flow causing by the stop of air traffic in collaborating with air transportation companies. We address the Unpredicted Large Passenger Flow as a perturbation in normal train dispatching and solve this problem through an optimization approach. Two strategies of reassigning remaining seats and inserting new trains are adopted to establish integer programming model in dispatching to evacuate unpredicted passengers. The proposed model is solved by a standard CPLEX solver and test through a study case. The effectiveness of the proposed model is demonstrated in the study case and both two strategies take part in serving ULPF. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000368491Publication status
publishedBook title
RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th – 20th, 2019Journal / series
Linköping Electronic Conference ProceedingsVolume
Pages / Article No.
Publisher
Linköping University Electronic PressEvent
Subject
Train rescheduling; Collaboration; Unpredicted large passenger flow; Inserting new trainsOrganisational unit
09611 - Corman, Francesco / Corman, Francesco
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
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ETH Bibliography
yes
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