A destination prediction method using driving contexts and trajectory for car navigation systems

  • Authors:
  • Kohei Tanaka;Yasue Kishino;Tsutomu Terada;Shojiro Nishio

  • Affiliations:
  • Osaka University;NTT Communication Science Laboratories;Kobe University;Osaka University

  • Venue:
  • Proceedings of the 2009 ACM symposium on Applied Computing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Car navigation systems provide the best route to a destination quickly and effectively. However, during daily driving, this information is not necessary since drivers already know the route to the destination very well. In addition, it is time-consuming for drivers to input the destination. Thus, our research group has proposed a new car navigation system that provides information related to the destination by predicting the user's destination automatically. We propose the use of a new method that predicts the destination on the basis of the driving trajectory and the contexts in which the user drives. A system that uses our method knows the destination without user interaction and provides information related to the correct destination.