Skip to Main content Skip to Navigation
Conference papers

A Generic Multi-Agent Model for Resource Allocation Strategies in Online On-Demand Transport with Autonomous Vehicles

Abstract : The introduction of driver-less technologies can improve on-demand transport (ODT) systems and help make passenger transportation and logistics more efficient. Here, we aim to provide a generic model of the online ODT with autonomous vehicles problem and a multiagent model specific to resource allocation and scheduling in vehicle fleets. Our model considers autonomous vehicles that communicate via peer-to-peer radio channels to meet passenger requirements and satisfy trip requests in an online ODT system. We experiment this model with several allocation mechanisms (mathematical programming, greedy heuristic, distributed constraint optimization, and auctions) and compare their performance on synthetic scenarios on a real-world city road network.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03093017
Contributor : Alaa Daoud Connect in order to contact the contributor
Submitted on : Thursday, February 25, 2021 - 9:38:40 PM
Last modification on : Tuesday, January 4, 2022 - 6:50:31 AM
Long-term archiving on: : Wednesday, May 26, 2021 - 7:27:36 PM

File

AAMAS_2021__Extended_Abstract_...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03093017, version 1

Citation

Alaa Daoud, Flavien Balbo, Paolo Gianessi, Gauthier Picard. A Generic Multi-Agent Model for Resource Allocation Strategies in Online On-Demand Transport with Autonomous Vehicles. Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), May 2021, London, United Kingdom. pp.3. ⟨hal-03093017⟩

Share

Metrics

Les métriques sont temporairement indisponibles