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 utility 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.
|Número de páginas||5|
|Publicación||Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics|
|Estado||Publicada - 2004|
|Publicado de forma externa||Sí|
|Evento||2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Países Bajos|
Duración: 10 oct. 2004 → 13 oct. 2004