EDGE COMPUTING SYSTEM FOR ACCUMULATING DATA OF AVOIDANCE BEHAVIOR ON BICYCLE TRIPS

Abstract

Many road videos obtained by CCTV and dashcams are accumulated in organization of road administrators. However, since these data are simply accumulated as original video files, the data transmission via networks is very high cost and huge sized storage is required. Also, in the road situations where some obstacles such as damaged parts of roads and any unexpected objects exist, bicycles cannot travel normally and are forced to avoid them. Therefore, by realizing detection of the avoidance behavior on bicycle trips, more effective road management by road administrators can be expected. In this paper, we propose an edge computing system for accumulating the data of the avoidance behavior on bicycle trips while reducing the data size. This edge computing system contributes to realizing more effective and efficient road management.