Missing data treatment on travel time estimation for ATIS

Yow Jen Jou*, Yuh Horng Wen, Tsu Tian Lee, Hsun-Jung Cho

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations


This study proposes a missing data recovery method based on grey-relational nearest-neighbor substitution techniques for treating with missing data from dual-loop detectors in estimating travel time and evaluates the effects of the missing data on travel-time estimation performance. Field data from the Taiwan national freeway no. 1 were used as a case study for testing the proposed model. Study results shown that the travel time estimation with missing data recovery was accurate even the missing data rate up to 33%. It is indicated that the proposed missing data treatment model can ensure the accuracy of travel time estimation with incomplete data sets.

Original languageEnglish
Pages (from-to)102-107
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
StatePublished - 25 Nov 2003
EventSystem Security and Assurance - Washington, DC, United States
Duration: 5 Oct 20038 Oct 2003


  • ATIS
  • Grey-relational-based nearest-neighbor approach
  • Missing data treatment
  • Travel time estimation

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