Real-Time Travel-Time Prediction Method Applying Multiple Traffic Observations

Various methods have been developed to predict automobile travel time, but they are often unreliable, especially when the travel time varies significantly during the transition between free flow and congested flow. This paper proposes a real-time travel-time prediction method. We apply a macroscopic traffic flow model with predicted boundary conditions and modify the scheme to calculate the traffic states to reflect the latest traffic conditions on a real-time basis. Our method uses traffic data from multiple observation systems, which is a crucial component for real-time application of the macroscopic traffic flow model that has not been previously applied to traffic flow models. The analysis of real traffic data collected from a section of the Korean Kyungbu Expressway shows that the proposed method outperforms other prediction methods, particularly during the transition between free flow and congested flow.

• Record URL:
  • https://doi.org/10.1007/s12205-016-0239-5
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/12267988
• Supplemental Notes:
  • © Korean Society of Civil Engineers and Springer-Verlag Berlin Heidelberg 2016. The contents of this paper reflect the views of the author[s] and do not necessarily reflect the official views or policies of the Transportation Research Board or the National Academy of Sciences.
• Authors:
  • Lim, Sung Han
  • Kim, Youngho
  • Lee, Chungwon
• Publication Date: 2016-11

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2920-2927
• Serial:
  • KSCE Journal of Civil Engineering
  • Volume: 20
  • Issue Number: 7
  • Publisher: Korean Society of Civil Engineers
  • ISSN: 1226-7988
  • EISSN: 1976-3808
  • Serial URL: http://link.springer.com/journal/12205

Subject/Index Terms

• TRT Terms: Data collection; Free flow speeds; Real time information; Traffic congestion; Traffic data; Traffic flow; Travel time
• Geographic Terms: Kyungbu (Korea)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01627006
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 27 2017 9:38AM