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An interval compositional vehicular traffic model for real-time applications

Research output: Contribution to conferencePoster


Publication date4/06/2008
<mark>Original language</mark>English


Conference2008 IEEE Intelligent Vehicles Symposium
CityEindhoven, The Netherlands


This paper proposes an interval approach to vehicular traffic flow modeling. The developed interval compositional model (ICM) provides a natural way of predicting traffic flows without the assumption of uniform distribution of vehicles along the road. The model can be used for real-time prediction of traffic flows and can be part of road traffic surveillance and control systems. The approach is flexible and robust and can be used in real-time applications. Its performance is investigated and validated over real traffic data.

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