Estimating vehicle trajectories on a motorway by data fusion of probe and detector data

In this study, we propose a data fusion technique to estimate trajectories of all running vehicles on an intercity motorway based on probe vehicle data and conventional traffic detector data. Although probe vehicle data are getting popular, their rich information on vehicle trajectories have not been fully utilized but mostly reduced travel time information have been used. The objective of this research is therefore to examine a data fusion framework to reconstruct vehicle trajectories by combining traffic data with conventional traffic detectors and probe vehicle data based on the kinematic wave theory and implements the solution by the variational theory proposed by Daganzo. And we utilize trajectories and examine how to get the useful information for drivers, which is travel time.