Demand-responsive transport services are systems that assign users ’ specific transport requests to different vehicles enabled to fulfill the required service. In order to contain costs, maximize profits or get a higher service level, different planning algorithms have been described in literature. In our work we propose a multi-agent architecture, which adopts a mixed planning model. This model is an integration of centralized and negotiation based decision-making approaches. The advantage of using this model respect to a centralized approach is that the estimation of the uti1ir) function is avoided (the client is involved in the final decision by means of a negotiation process). The model advantages a complete decentralized approach in giving results that are not so far from the optimum for the whole system.

Multi-agent infrastructure for distributed planning of demand-responsive passenger transportation service / Claudio, Cubillos; FRANCO GUIDI POLANCO, And; Demartini, Claudio Giovanni. - (2004), pp. 2013-2017. (Intervento presentato al convegno Proceedings of the IEEE International Conference on Systems, tenutosi a The Hague, Netherlands nel 10-13 October, 2004).

Multi-agent infrastructure for distributed planning of demand-responsive passenger transportation service

DEMARTINI, Claudio Giovanni
2004

Abstract

Demand-responsive transport services are systems that assign users ’ specific transport requests to different vehicles enabled to fulfill the required service. In order to contain costs, maximize profits or get a higher service level, different planning algorithms have been described in literature. In our work we propose a multi-agent architecture, which adopts a mixed planning model. This model is an integration of centralized and negotiation based decision-making approaches. The advantage of using this model respect to a centralized approach is that the estimation of the uti1ir) function is avoided (the client is involved in the final decision by means of a negotiation process). The model advantages a complete decentralized approach in giving results that are not so far from the optimum for the whole system.
2004
9780780385665
File in questo prodotto:
File Dimensione Formato  
01399989.pdf

accesso aperto

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 414.55 kB
Formato Adobe PDF
414.55 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/1643722
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo