Adaptive path management considering temporal and circumstantial variations

초록

Abstract. In this paper, we propose adaptive path management method depending on road traffic restriction factors such as temporal and circumstantial variations. Proposed method reflects road traffic restriction factors such as vehicle type and depature or running day and time, etc and provides path that is suitable for situation. Because road traffic restriction factors are very diverse, path searching speed can be slowed. Therefore, we use network and shape data when we find path in order to search path quickly. Based on this, we suggest path suitable for vehicle type, driving time. Also we build path management system that can adapt to road conditions promptly if road is controlled by reasons of accident or event. In this way, we can support safety driving of deadweight cargo vehicles and dangerous goods vehicles and improve the safety of the people.