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

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2009, Pages 190-195

  Tanaka, Kohei ^a   Kishino, Yasue ^b   Terada, Tsutomu ^c   Nishio, Shojiro ^a  

^a OSAKA UNIVERSITY   (Japan)

^b NTT Communication Science Laboratories   (Japan)

^c KOBE UNIVERSITY   (Japan)

Author keywords

Car navigation system; Destination prediction

Indexed keywords

CAR NAVIGATION SYSTEMS; PREDICTION METHODS; RESEARCH GROUPS; USER INTERACTION;

COMPUTER SCIENCE; FLUORINE CONTAINING POLYMERS; NAVIGATION;

NAVIGATION SYSTEMS;

EID: 72949119314     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1529282.1529323     Document Type: Conference Paper

References (5)

1. M. Kobayashi et al. The arrival place presumption mechanism applied to an information filtering system for in-vehicle navigation systems. Transactions of Information Processing Society of Japan, 45(12):2688-2695, 2004.
2. L. Liao et al. Learning and inferring transportation routines. Artif. Intell., 171(5-6):311-331, 2007.
3. D. J. Patterson et al. Inferring high-level behavior from low- level sensors. In Proc. of The Fifth International Conference on Ubiquitous Computing (UbiComp2003), pages 73-89, 2003.
4. T. Terada et al. Design of a car navigation system that predicts user destination. In Proc. of Int'l Workshop on Tools and Applications for Mobile Contents (TAMC), pages 54-49, 2006.
5. M. Yoshioka and J. Ozawa. Destination entropy for arrival place presumption from car driving route history. Transactions of Information Processing Society of Japan, 46(12):2973-2982, 2005.