Abstract
This paper reports on how the abstraction approach of multi-agent systems can be used to represent the complexity inherent in the urban traffic domain, accounting for the importance of modelling travellers’ behaviour and their interaction with intelligent transportation technologies. A key premise in the approach proposed is the identification of what we have coined autonomous decision entity, which is defined as an agent shell to structure the way agents can be implemented and inserted into the environment. Such a structure is very flexible in the sense it is only defined in meta-level, comprising sensors, effectors and a reasoning kernel. The conceptual multi-agent model is presented and implemented within the DRACULA simulation suite, which is used for simulation experiments on the analysis of drivers’ route and departure time choice.
Keywords
- Route Choice
- Intelligent Transportation System
- Base Belief
- Transportation Research Part
- Average Travel Time
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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Rossetti, R.J.F., Liu, R. (2005). A Dynamic Network Simulation Model Based on Multi-Agent Systems. In: Klügl, F., Bazzan, A., Ossowski, S. (eds) Applications of Agent Technology in Traffic and Transportation. Whitestein Series in Software Agent Technologies. Birkhäuser Basel. https://doi.org/10.1007/3-7643-7363-6_12
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DOI: https://doi.org/10.1007/3-7643-7363-6_12
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