Resource-constrained replanning in MATSim applied to the simulation of peer-to-peer car sharing services - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Resource-constrained replanning in MATSim applied to the simulation of peer-to-peer car sharing services

Sebastian Hörl
Jeremy Sobieraj
  • Fonction : Auteur
  • PersonId : 1118947
Steffen Axer
  • Fonction : Auteur
Hannes Rewald
  • Fonction : Auteur

Résumé

Peer-to-peer car sharing is a service model in which car owners let others use their vehicle while it is not in use by themselves. To simulate such a service in the agent-based transport simulation framework MATSim, a novel synchronization concept is proposed that considers limited resources in the decision-making of the agents. The concept is introduced in detail and demonstrated for peer-to-peer car sharing on a conceptual use case and a large-scale simulation for Berlin. The concept is generalizable to other constrained resources, such as parking or micromobility.
Fichier principal
Vignette du fichier
1-s2.0-S1877050923006269-main.pdf (482.6 Ko) Télécharger le fichier
Origine : Accord explicite pour ce dépôt
Licence : CC BY NC ND - Paternité - Pas d'utilisation commerciale - Pas de modification

Dates et versions

hal-04050638 , version 1 (18-04-2023)

Identifiants

Citer

Sebastian Hörl, Jeremy Sobieraj, Steffen Axer, Hannes Rewald. Resource-constrained replanning in MATSim applied to the simulation of peer-to-peer car sharing services. 12th International Workshop on Agent-based Mobility, Traffic and Transportation Models (ABMTRANS 2023), Mar 2023, Leuven, Belgium. pp.698-703, ⟨10.1016/j.procs.2023.03.091⟩. ⟨hal-04050638⟩
34 Consultations
15 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More