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.
Print ISSN: 0178-2312
Volume: 49, 11/2001
Pages: 485