ASDA/FOTO based on Kerner’s three-phase traffic theory in North Rhine-Westphalia and its integration into vehicles

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 Kernerpsila 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 modelpsilas integration into vehicles are presented.