Abstract
Mobility patterns in large cities has changed in the last decades making traditional fix-line public transportation no longer efficient to tackle the increasing complexity. Demand-responsive transportation leverages as an alternative where routes, departure times, vehicles and even operators, can be matched to the identified demand, allowing a more user-oriented and cost effective approach to service provision. In this context, the design of a multiagent system is presented following the agent-oriented software engineering methodology (AOSE) PASSI.
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Cubillos, C., Gaete, S., Guidi-Polanco, F., Demartini, C. (2007). Design of a Multiagent Solution for Demand-Responsive Transportation. In: Basili, R., Pazienza, M.T. (eds) AI*IA 2007: Artificial Intelligence and Human-Oriented Computing. AI*IA 2007. Lecture Notes in Computer Science(), vol 4733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74782-6_71
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DOI: https://doi.org/10.1007/978-3-540-74782-6_71
Publisher Name: Springer, Berlin, Heidelberg
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