Intelligent route selection for in-vehicle navigation systems

Abstract

Driving is a demanding task which requires constant concentration and appropriate maneuvers of a vehicle on the road. The introduction of in-vehicle navigation and route guidance system should be carried out with utmost care because of the abundant information that can be provided to a driver. In order to increase the acceptance level and lower the negative safety impacts of in-vehicle navigation systems, the psychological consideration and study of model of driver behavior is crucial. The focus of this article is on the design of a route selection function for an in-vehicle navigation system. The issue of route selection criteria and decision-making by drivers is discussed and an adaptive route selection algorithm presented. The objective is to develop a system function which can act as a driver's assistant and helps in the evaluation of alternate routes. Such a system can help to filter and interpret information to lessen stress on drivers. In this article, the philosophical consideration of drivers' route selection is discussed. The concept of primary attributes is introduced. Also, a review of route selection studies, together with the results from three previous surveys, are presented.