Traffic data measured with stationary loop detectors on freeways in North-Rhine Westphalia are used at a major German radio broadcasting station (WDR) for the detection and reconstruction of spatial-temporal congested traffic patterns. This is done with models ASDA (Automatic Jam Recognition) and FOTO (Forecasting Of Traffic Objects) based on Kerner’ Three-Phase traffic theory. The detected congested traffic patterns can be suitable as a basis for production and control of RDS/TMC traffic messages which are broadcasted to radio listeners and RDS/TMC receivers in vehicle navigation systems. The article briefly discusses the theoretical background of the models ASDA and FOTO as well as the results achieved until now in the on-line operation in North Rhine-Westphalia without any calibration of model parameters. A quality index developed for ASDA and FOTO relevant for RDS/TMC messages as well as architectural aspects of the model’s integration into vehicles are presented.
ASDA/FOTO based on Kerner’s three-phase traffic theory in North Rhine-Westphalia and its integration into vehicles
2008 IEEE Intelligent Vehicles Symposium ; 186-191
01.06.2008
333568 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
British Library Conference Proceedings | 2008
|Multi-modal, Regional Traffic Information System in North Rhine-Westphalia
British Library Conference Proceedings | 1994
|Game-Theoretic Context and Interpretation of Kerner’s Three-Phase Traffic Theory
Springer Verlag | 2014
|Feasibility Study on CCU opportunities for North Rhine-Westphalia
Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
|