Abstract
This paper proposes a classification method of road congestion status using satellite images for collecting traffic information without ground-based sensors. In our method, we first extract vehicle edges eliminating several noises using various image processing methods. Then, we compute the number and the density of vehicles in each road section, and we classify the road congestion status using the density. In our study, we propose a new method of using three-dimensional map information for processing the occlusion and the shadow in the road caused by high buildings. We show the evaluation results of our experiments using real images in urban areas, and we show the possibility of traffic information collection in urban areas using satellite images and a three-dimensional map.
