Advanced OR and AI Methods in Transportation DYNAMIC CALIBRATION APPROACH FOR DELAYED CAR-FOLLOWING MODELS

Microscopic simulation models have become widely applied tools in traffic engineering. Nevertheless, parameter identification remains a difficult tasks due to the fact that parameters are often not directly observable from common traffic data, but also because real driving behavior is variable in time and space, etc. This paper puts forward a new approach to identifying changing parameters of delayed car-following models, including the reaction time. The approach is based on the particle filter approach, and is generalized to enable estimation of reaction times. Besides the methodological contribution, we show empirical evidence for changing driving behavior by applying the approach to microscopic traffic data collected using remote sensing.