DSRC based self-adaptive navigation system: Aiming spread out the vehicles for alleviating traffic congestion

Abstract

In the past decades, traffic problems has become a major research field of both academic and industrial community. In this paper, we propose a Self- Adaptive Navigation System (SeNS) to provide optimal tailored driving paths, reflecting real-time road traffic information. The current navigation systems are using server independently, and only use the static time stamp-based traffic information. For not consider the changing of traffic in near future, they tend to provide the path that sharing some roads. This kind of individual optimization could—create new bottlenecks on some roads, which was light traffic. Our proposed system consists of Traffic Control Center (TCC), Road Side Unit (RSU), mobile terminal (e.g. smartphone). TCC and RSU are for collecting road statistics, merging them and generating overall traffic information, in real-time. Based on this, mobile terminal can provide tailored optimal path, apply the algorithm of maximizing the traffic flow, for alleviating traffic congestion on target area of TCC. Therefore, based on the prompt exchange of road traffic conditions through the interaction among the mobile terminals, RSUs, and TCC, SeNS can provide drivers with a new type of self-adaptive navigation service, based on dynamic traffic conditions, such as temporal traffic jam and car accidents.