Work

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

Year: 2025

Type: article

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.

Source: Statistics Optimization & Information Computing

DOI: 10.19139/soic-2310-5070-2158

Authors: EDI Yapi Fiacre Aristide, Koné Oumar, EDI Kouassi Hilaire

Institution: Université Nangui Abrogoua

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W6888436863

FWCI:

Cites:

Cited by:

Related to: