Personalized Route Navigation System: Utilizing Available Static and Live Data for Preference-Based Recommendation

Abstract

Efficiency has become an extremely important factor in route navigation applications. Many systems offer the fastest route possible to a destination by using information including traffic data, road construction status, and more. However, many existing route navigation systems significantly lack the ability to account for personalized user information. The goal of this research was to develop a personalized route navigation algorithm capable of indexing routes classified by a user’s estimated satisfaction, considering relevant information provided from previous studies, without the need for external hardware or sensors. Said routes produced by the end-goal system are constructed and indexed using available live and static data from external resources.