Personalized Driving Route Recommendations
Seth Rogers, Pat Langley · 1998
Recommending satisfactory routes for driving requires data about the road network and an individual's relative weighting of available factors. We describe an interactive planning system that generates routes with the help of a driver and refines its model of the driver's preferences through interaction. Results of a study indicate that it is possible to model drivers through feedback about relative preferences, but a richer description of the road network can improve accuracy. Our adaptive route advisor unobtrusively collects data on preferences in relevant areas, provides its user with a useful service, and improves its performance as it updates its user model. Introduction Recommending routes for drivers is a challenging problem for several reasons. First, driving occurs in a rich environment where many factors influence the desirability of a particular route. Second, many relevant factors are not currently available in digital form, such as average congestion on streets. Additional...