Real-world transportation networks provide rich and complex environments, well-suited to the deployment of multi-agent systems. In this demonstration, we simulate a population of electric vehicles making a journey between two cities. The challenge for the vehicles lies in making decisions of how best to recharge their batteries using the small number of charging stations that are available on their route. We investigate several scenarios that use a combination of conventional planning techniques alongside automated negotiation and evaluate their effects on the efficiency of the system.
Peer-to-Peer Negotiation for Optimising Journeys of Electric Vehicles on a Tour of Europe / Ali Hosseini, Seyed; Campbell, Diarmid; Favorito, Marco; Ward, Jonathan. - 4:(2019), pp. 2360-2362. (Intervento presentato al convegno 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2019 tenutosi a Montreal; Canada).
Peer-to-Peer Negotiation for Optimising Journeys of Electric Vehicles on a Tour of Europe
Marco Favorito;
2019
Abstract
Real-world transportation networks provide rich and complex environments, well-suited to the deployment of multi-agent systems. In this demonstration, we simulate a population of electric vehicles making a journey between two cities. The challenge for the vehicles lies in making decisions of how best to recharge their batteries using the small number of charging stations that are available on their route. We investigate several scenarios that use a combination of conventional planning techniques alongside automated negotiation and evaluate their effects on the efficiency of the system.File | Dimensione | Formato | |
---|---|---|---|
Hosseini_Peer-to-peer_2019.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
1.09 MB
Formato
Adobe PDF
|
1.09 MB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.