Interactive Refinement of Route Preferences for Driving

Seth Rogers and Pat Langley

Generating 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.


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