Optimal Route Selection Method Based on Grey Incidence Analysis

Abstract

One function of an in-vehicle traffic flow guidance system is route planning. Given a set of origin-destination (O/D) pair, there could be many possible routes for a driver. A useful traffic flow guidance system should have the capability to support the driver effectively in deciding on an optimal route to his preference. The objective of this work is to model the driver behavior in the area of route selection. In particular, the research focuses on an optimal route selection function in a typical in- vehicle navigation system or dynamic route guidance (DRG) system. In this paper, we want to emphasize the need to orientate the route selection method on the driver's preference. Each feasible route has a set of attributes. Based on the improved AHP and grey incidence analysis, an adaptive optimal route selection method to a driver's preference is proposed, and the corresponding decision support system is also developed, which paves for the development of the traffic flow guidance system.