Data Fusion Method on Modifying Sampling Bias of Floating Cars

Abstract:

On the account of that sampling bias of floating cars may bring a lot of errors to the estimated average link travel time, the paper presents a data fusion model derived from average link travel time model based on the population vehicles. By fusing loop detector data and floating car data(FCD), the effect of biased sampling of floating cars on average link travel time decrease with the model. At last, a simulation of an urban arterial road with five intersections and four links shows that data fusion model can yield a better result than the traditional floating car method.