A Comparison of Several Speed Computation Methods for the Safe Shortest Path Problem - Université Clermont Auvergne Accéder directement au contenu
Proceedings/Recueil Des Communications Proceedings of the 12th International Conference on Operations Research and Enterprise Systems (ICORES 2023) Année : 2023

A Comparison of Several Speed Computation Methods for the Safe Shortest Path Problem

Résumé

This paper is based on (Mombelli et al., 2022). In their article, they dealt with a fleet of autonomous vehicles which is required to perform internal logistics tasks in some protected areas. This fleet is supposed to be ruled by a hierarchical supervision architecture which, at the top level, distributes and schedules Pick up and Delivery tasks, and, at the lowest level, ensures safety at the crossroads and controls the trajectories. They presented the problem of finding a shortest path under risk constraints and proposed a way to compute speed functions along the path. In this paper, we present some theoretical results and focus on the fixed path problem. We propose several new ways of computing speed functions including a couple with reinforcement learning.
Fichier principal
Vignette du fichier
SSPP_2_ICORES.pdf (276.96 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04152104 , version 1 (05-07-2023)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

Aurélien Mombelli, Alain Quilliot, Mourad Baiou. A Comparison of Several Speed Computation Methods for the Safe Shortest Path Problem. Proceedings of the 12th International Conference on Operations Research and Enterprise Systems (ICORES 2023), SCITEPRESS - Science and Technology Publications, pp.15-26, 2023, 978-989-758-627-9. ⟨10.5220/0011618600003396⟩. ⟨hal-04152104⟩
17 Consultations
11 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More