Modélisation stochastique macroscopique d'ordre supérieur du trafic sur les réseaux routiers : implications managériales

Auteurs

DOI :

https://doi.org/10.53102/2023.37.02.1156

Mots-clés :

Gestion de trafic , Modélisation stochastique du trafic , Modèles GSOM stochastique lagrangien

Résumé

Les systèmes de transport jouent un rôle primordial dans le développement de la croissance économique des pays. Cependant, l'apparition des véhicules autonomes et électriques et les restrictions mises en place pour limiter la diffusion et les impacts du Covid-19 dans les transports en commun ont eu un impact important sur l’augmentation des problèmes de transport notamment aux intersections. Le présent papier aide à résoudre ces problèmes. Cet article s'intéresse à la modélisation stochastique des flux du trafic sur les réseaux routiers, grâce à des modèles macroscopiques génériques de second ordre : la famille GSOM. Il a été montré que de tels modèles d'ordre supérieur peuvent être résolus dans un cadre lagrangien dont les coordonnées lagrangiennes se déplacent avec le trafic. La difficulté d'utiliser cette solution de résolution sur un réseau est de traiter les discontinuités eulériennes – fixes – telles que les jonctions. L'objectif de ce travail est double : d'une part, proposer des modèles d’intersection adaptés aux modèles stochastiques macroscopiques de flux de trafic de second ordre, et d'autre part, résoudre le modèle résultant dans le cadre d’un réseau routier. Quelques exemples numériques sont fournis pour montrer l'efficacité de l'approche proposée.

Biographies des auteurs

Asma KHELIFI, ESLI - GIP CEI, École Supérieure de Logistique Industrielle

Asma Khelifi is an associate professor at  ESLI - GIP CEI, École Supérieure de Logistique Industrielle. She is a Ph.D in Industrial Engineering at Université Gustave Eiffel, IFSTTAR/GRETTIA, France. Area of research: traffic flow modeling based on hybrid model, junction modeling, application of the advanced technique for the traffic control of road networks and the incident management, monitoring and traffic control of motorway corridor, and motorway ramp metering control.

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Jean-Patrick LEBACQUE , Université Gustave Eiffel, IFSTTAR/GRETTIA

Jean-Patrick Lebacque is a professor at Université Gustave Eiffel IFSTTAR/GRETTIA France, ENPC France. He is a general engineer of Roads and Bridges France, CERMICS France. He is a researcher on applied mathematics, transportation engineering, computer science and scientific computing, and transport economics.

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Habib HAJ-SALEM, Université Gustave Eiffel, IFSTTAR/GRETTIA

Habib Haj-Salem is a research director and responsible of the traffic modeling and control research area at Université Gustave Eiffel IFSTTAR/GRETTIA France, UEVP, IUP France University of Paris XII France, and ENTPE of Lyon France. He is a professor researcher on automatic control, numerical analysis and electronics, traffic flow modeling, hybrid modeling

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21-09-2023

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19-09-2022

Comment citer

KHELIFI, A., LEBACQUE , J.-P. ., & HAJ-SALEM, H. . (2023). Modélisation stochastique macroscopique d’ordre supérieur du trafic sur les réseaux routiers : implications managériales. Revue Française De Gestion Industrielle, 37(2), 71–86. https://doi.org/10.53102/2023.37.02.1156

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