earticle

영어

Up to now studies on the fusion of travel time from various detectors have been
conducted based on the variance ratio of the intermittent data mainly collected by GPS or
probe vehicles. The fusion model based on the variance ratio of intermittent data is not suitable
for the license plate recognition AVIs that can deal with vast amount of data. This study was
carried out to develop the fusion model based on travel time acquired from the license plate
recognition AVIs and the point detectors. In order to fuse travel time acquired from the point
detectors and the license plate recognition AVIs, the optimized fusion model and the
proportional fusion model were developed in this study. As a result of verification, the optimized
fusion model showed the superior estimation performance. The optimized fusion model is the
dynamic fusion ratio estimation model on real time base, which calculates fusion weights based
on real time historic data and applies them to the current time period. The results of this study
are expected to be used effectively for National Highway Traffic Management System to provide
traffic information in the future. However, there should be further studies on the proper distance
for the establishment of the AVIs and the license plate matching rate according to the lanes for
AVIs to be established.