AI*IA 2007: AI*IA 2007: Artificial Intelligence and Human-Oriented Computing pp 797-804 | Cite as
Design of a Multiagent Solution for Demand-Responsive Transportation
Conference paper
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.
Keywords
Multiagent System Intelligent Transportation System Transport Service Passenger Transportation Route Guidance
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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