Reinhart D. Kühne

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Several microscopic traffic flow models have been tested with a publicly available data set. The task was to predict the travel times between several observers along a one-lane rural road, given as boundary conditions the flow into this road and the flow out of it. By using nonlinear optimization, for each of the models the best matching set of parameters(More)
A macroscopic freeway model of traffic flow is presented which can be used for simulation of freeway traffic under heavy traffic conditions. The model regards essentially two different reactions of car following behaviour (1) relaxation to a static speed-density relation (empirical fundamental diagram) (2) anticipation of traffic conditions downstream. The(More)
Every year more than six million crashes occur in the USA, killing over 40.000 people and causing more than three millions of injuries [7]. A major part of these crashes are rear-end collisions. Therefore the U.S. Department of Transportation has put a lot of effort in fostering the development of rear-end collision avoidance systems by funding(More)
Vehicle probes as data collectors, satellites as traffic spies and area wide traffic signal control will shape the future traffic system. In order to apply these technologies, new methods for data mining are necessary. Aerial photogrammetry covers a wide range of edges and nodes that have to be linked with digital maps, containing static and dynamic(More)
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