A new mixed-line programming approach to the problem of multimodal urban transit

Authors

  • EDI Yapi Fiacre Aristide Nangui Abrogoua University, Basic and Applied Sciences, Mathematics and Computer Science Laboratory, Abidjan, Ivory Coast
  • Koné Oumar Nangui Abrogoua University, Basic and Applied Sciences, Mathematics and Computer Science Laboratory, Abidjan, Ivory Coast
  • EDI Kouassi Hilaire Nangui Abrogoua University, Basic and Applied Sciences, Mathematics and Computer Science Laboratory, Abidjan, Ivory Coast

DOI:

https://doi.org/10.19139/soic-2310-5070-2158

Keywords:

Multimodality, Linear programming, integer programming, urban transportation, Mathematical model, combinatorial optimization.

Abstract

Multimodal urban transportation offers an efficient and reliable solution for urban mobility. This paper proposes a novel mathematical formulation, based on Mixed Integer Linear Programming (MILP), specifically addressing the optimization of formal public transportation modes within urban settings. Unlike existing models, our approach focuses exclusively on the formal transport sector while incorporating relevant operational constraints. The study begins with a concise review of the literature on optimization and organizational challenges in multimodal urban transport. Computational experiments are performed using an optimization solver to evaluate the performance and effectiveness of the proposed model.

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Published

2025-04-22

Issue

Vol. 14 No. 3 (2025)

Section

Research Articles

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How to Cite

A new mixed-line programming approach to the problem of multimodal urban transit. (2025). Statistics, Optimization & Information Computing, 14(3), 1458-1472. https://doi.org/10.19139/soic-2310-5070-2158