Abstract
This work presents a multiagent framework design for Demand-Responsive Transportation, considering a virtual enterprise domain. The agent architecture obtained provides a baseline for the integration between end-users of the transport service and multiple transport operators affiliated to a virtual enterprise which provides flexibility in the incorporation and leaving of transport operators. The participation of governmental organizations and active destinations within the system allows the virtual enterprise having additional information on potential opportunities of business and assures transport system users a wider and more complete service search. The PASSI methodology has been used as base software engineering methodology for leveraging the multiagent architecture.
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Cabrera, D., Cubillos, C. (2008). Multi-agent Framework for a Virtual Enterprise of Demand-Responsive Transportation. In: Bergler, S. (eds) Advances in Artificial Intelligence. Canadian AI 2008. Lecture Notes in Computer Science(), vol 5032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68825-9_7
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DOI: https://doi.org/10.1007/978-3-540-68825-9_7
Publisher Name: Springer, Berlin, Heidelberg
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