Model-Based Plausibility of Traffic Census

Abstract

The importance of traffic data has become more important than ever. However, the quality of data has to be considered because it leads to the basis of transport modeling. Error in data could create errors in the model and will guide to the wrong decitions and invesments in transport sector. This study attempts to develop a procedure by which the quality of the traffic data can be assessed. In this case also, the plausibility of count station which relates to the traffic flow from traffic census can be determined. The basic method used, is propagation of measured values, which is implemented in the traffic planning Software VISUM. From the method implementation, it is proven that this plausibility based model is suitable to check the plausibility of traffic census.