Travel time prediction using probe-car data

Takashi Fujita, Enjian Yao, Yasuhiro Sugisaki, Junnichi Takeuchi, Kozue Hirabayashi, Takayuki Nakata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


Travel time prediction is very important to the development of Advanced Traveler Information System (ATIS) and other ITS applications such as route guidance system and traffic flow management. In this paper, a comprehensive approach including short-term, medium-term, and long-term travel time predictions based on the link travel time data collected by probe vehicle system is proposed. The suitable models for these three types of prediction and the conditions for the models' application are also identified respectively. Finally, the performance of the proposed approach is examined with the Automated Vehicle Identification (AVI) data, and the accuracy and the practicability are identified successfully. .

Original languageEnglish
Title of host publication13th World Congress on Intelligent Transport Systems and Services
PublisherIntelligent Transport Systems (ITS)
Publication statusPublished - Jan 1 2006
Event13th World Congress on Intelligent Transport Systems and Services, ITS 2006 - London, United Kingdom
Duration: Oct 8 2006Oct 12 2006


Other13th World Congress on Intelligent Transport Systems and Services, ITS 2006
Country/TerritoryUnited Kingdom

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Transportation
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Automotive Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Networks and Communications


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