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Towards a Multi-Agent System for On-Line Simulations Based on Real-World Traffic Data
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September 25, 2009
This paper presents a framework for on-line simulations and predictions of traffic states in large-scale networks, which is based on the combination of real-world traffic data with an agent-based traffic flow model. The system is applied to the urban road network of Duisburg and the freeway network of North Rhine-Westphalia. On the basis of historical traffic demand data heuristics are derived, which are combined with the current data to provide a short-term traffic forecast. Additionally, the demand for an anticipatory traffic forecast, which includes decision-making and route choice behaviour of the road users, is discussed.
Published Online: 2009-09-25
Published in Print: 2001-11
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