Vehicle travel time prediction in spatio-temporal space

Qing Li, Hing Keung William Lam, Mei Lam Tam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


It is recognized that travel times on a link are temporally correlated with its travel times of previous time periods. Also, the link travel time are spatially correlated by travel times on its neighboring links. Based on such temporal and spatial correlations, a new method is proposed for travel time prediction in urban roads. The proposed method is capable of rapidly predicting the link travel time in the near future. For validation of the proposed method, the temporal and spatial variance-covariance of travel times on related links are employed together with historical travel time data. It is found that the proposed method is able to provide more accurate travel time prediction.
Original languageEnglish
Title of host publicationSustainable Development of Urban Infrastructure
Number of pages4
EditionPART 1
Publication statusPublished - 31 Jan 2013
Event2nd International Conference on Civil Engineering and Transportation, ICCET 2012 - Guilin, China
Duration: 27 Oct 201228 Oct 2012

Publication series

NameApplied Mechanics and Materials
NumberPART 1
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482


Conference2nd International Conference on Civil Engineering and Transportation, ICCET 2012


  • Prediction
  • Spatial covariance
  • Temporal covariance
  • Travel time

ASJC Scopus subject areas

  • Engineering(all)


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