EURO 2024 Copenhagen
Abstract Submission

2874. Realistic assessment of rail traffic management optimization: a demand-supply simulation framework

Invited abstract in session WB-51: Railway Traffic Management, stream Public Transport Optimization.

Wednesday, 10:30-12:00
Room: M5 (building: 101)

Authors (first author is the speaker)

1. Johan Victor Flensburg
Department of Technology, Management, and Economics, Technical University of Denmark
2. Bianca Pascariu
COSYS-ESTAS, Université Gustave Eiffel
3. Gregory Marlière
Univertsité Gustave Eiffel, COSYS-ESTAS, F-59650 Villeneuve d’Ascq, France
4. G. Sfeir
Technical University of Denmark, Department of Technology, Management, and Economics, 2800 Kongens Lyngby, Denmark
5. Federico Naldini
COSYS-ESTAS, Université Gustave Eiffel
6. Filipe Rodrigues
DTU Management, Technical University of Denmark
7. Paola Pellegrini
Université Gustave Eiffel
8. Carlos M. Lima Azevedo
Technical University of Denmark, Department of Technology, Management, and Economics, 2800 Kongens Lyngby, Denmark

Abstract

Our research addresses the need for a realistic assessment of rail traffic management algorithms. We introduce a modular framework integrating demand and supply dimensions for algorithm evaluation. Our approach incorporates passenger simulation via an application programming interface (API) in the commercial rail traffic simulator OpenTrack, enabling realistic route choice modeling and passenger rerouting based on observed choices and traffic conditions. Trains are realistically simulated in OpenTrack, and historical distributions of traffic perturbations are applied via the API. When train delays increase, the API triggers passenger rerouting: depending on the current and planned traffic evolution, passengers decide whether to stick to their original plan or choose a different option. This mimics realistic decisions, where passengers react to updated traffic information. The proposed framework allows for the closed-loop assessment with a traffic control optimization algorithm, ensuring practical feasibility. We validate the framework using diverse scenarios in a Copenhagen suburban rail network, exploring variants of optimization algorithms with objectives including train delay minimization and passenger delay considerations. Our proposal represents the first comprehensive framework integrating passenger behavior and realistic rail traffic simulation, enhancing the evaluation of traffic management algorithms.

Keywords

Status: accepted

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