Experimental evaluation of method for driving route recommendation and learning drivers' route selection preferences

Recent years have witnessed a rapid increase in the use of car navigation systems, which provide drivers with directions to their destinations. However, such systems do not always recommend a route that perfectly matches a driver's intent. Even when drivers intentionally change the driving route from the recommended one to another, most car navigation systems keep recommending or lead them back to the original recommended route. Such recommendations may not adequately reflect a driver's intent. We previously proposed a route recommendation method based on the estimation of a driver's intent by comparing the characteristics of a route selected by a driver and a route not selected by the driver but recommended by the car navigation system. In this study, we propose a method that can consider multiple costs and learn a driver's concept of the values for each cost; in brief, it represents an effective method for learning drivers' route selection preferences. In addition, we describe experimental evaluation results of our proposed method for driving route recommendations and learning drivers' route selection preferences.