Optimal roadworks schedule in multi-agent transportation models

Authors

  • Marcin Opalski SGH Warsaw School of Economics https://orcid.org/0009-0003-7450-8333
  • Przemysław Szufel SGH Warsaw School of Economics
  • Bogumił Kamiński SGH Warsaw School of Economics
  • Atefeh Mashatan Toronto Metropolitan University
  • Pawel Pralat Toronto Metropolitan University

DOI:

https://doi.org/10.59490/ejtir.2024.24.4.6984

Abstract

In this paper we consider the problem of the optimal roadworks scheduling in the road traffic network optimization. The main goal of this research is to find the optimal order of roadworks and minimize their negative impact on the transportation network throughput. In order to model the dynamics of a transportation system, we propose a large-scale, multi-agent vehicle routing modelling framework for traffic simulation and impact of roadworks on traffic throughput. We present a quick and effective heuristic algorithm for streamlining the road repairs. Finally, the numeric experiment in a real-world setting is conducted. The obtained results indicate the flexibility of the proposed algorithm, which can be effectively applied by decision makers who need to carry out roadworks with limited time and resources.

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Author Biographies

Przemysław Szufel, SGH Warsaw School of Economics

Assistant professor

Decision Analysis and Support Unit

Warsaw School of Economics

Bogumił Kamiński, SGH Warsaw School of Economics

Head of Decision Analysis and Support Unit

SGH Warsaw School of Economics

 

Atefeh Mashatan, Toronto Metropolitan University

Associate Professor
Director, Cybersecurity Research Lab
DepartmentInformation Technology Management
Toronto Metropolitan University

Pawel Pralat, Toronto Metropolitan University

Professor
Department of Mathematics
Toronto Metropolitan University

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Published

2024-11-13

How to Cite

Opalski, M., Szufel, P., Kamiński, B., Mashatan, A., & Pralat, P. (2024). Optimal roadworks schedule in multi-agent transportation models. European Journal of Transport and Infrastructure Research, 24(4), 41–61. https://doi.org/10.59490/ejtir.2024.24.4.6984

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Section

Articles