Short-Term Travel Time Prediction Using the Kalman Filter Combined with a Variable Aggregation Interval Scheme

Data aggregation interval is important for reliable travel time predictions in probe-based systems. Where sufficient probes exist, a short interval can be used to minimize the time delay. However, in the opposite case, a short interval can cause unreliable travel time predictions due to small probes. Thus, the optimal aggregation interval may vary according to traffic flow conditions. This study suggests a methodology for selecting the optimal aggregation interval which varies according to a characteristic of probe travel time. The superiority of the proposed methodology compared to a conventional fixed interval is verified using DSRC probe data collected on a multilane highway near Seoul, Korea. The Kalman filter is adopted for a travel time prediction technique. As a consequence, the prediction accuracy is enhanced by approximately 40% compared to a fixed aggregation interval under free flow conditions.

• Record URL:
  • https://doi.org/10.11175/easts.10.1884
• Summary URL:
  • http://scholar.google.com/scholar_lookup?title=Short-Term+Travel+Time+Prediction+Using+the+Kalman+Filter+Combined+with+a+Variable+Aggregation+Interval+Scheme&author=J.+JANG&publication_year=2013
• Authors:
  • JANG, Jinhwan
• Publication Date: 2013

Language

• English
• Japanese

Media Info

• Media Type: Digital/other
• Features: Figures; Illustrations; References; Tables;
• Pagination: pp 1884-1895
• Serial:
  • Journal of the Eastern Asia Society for Transportation Studies
  • Volume: 10
  • Issue Number: 0
  • Publisher: Eastern Asia Society for Transportation Studies
  • EISSN: 1881-1124
  • Serial URL: https://www.jstage.jst.go.jp/browse/easts/-char/en
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Accuracy; Kalman filtering; Mathematical prediction; Multilane highways; Probes (Measuring devices); Time intervals; Traffic data; Traffic delays; Traffic flow; Travel time
• Geographic Terms: Seoul (Korea)
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01506746
• Record Type: Publication
• Source Agency: Japan Science and Technology Agency (JST)
• Files: TRIS, JSTAGE
• Created Date: Feb 10 2014 7:41AM