Estimating vehicle miles traveled (VMT) in urban areas using regression kriging

Seheon Kim, Dongjoo Park, Tae-Young Heo, Hyunseung Kim, Dahee Hong

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
37 Downloads (Pure)

Abstract

The recent increase in demand for performance‐driven and outcome‐based transportation planning makes accurate and reliable performance measures essential. Vehicle miles traveled (VMT), the total miles traveled by all vehicles on roadways, has been utilized widely as a proxy for traffic impact assessment, vehicle emissions, gasoline consumption, and crashes. Accordingly, a number of studies estimate VMT using diverse data sources. This study estimates VMT in the urban area of Bucheon, South Korea, by predicting the annual average daily traffic for unmeasured locations using spatial interpolation techniques (i.e., regression kriging and linear regression). The predictive performance of this method is compared with that of the existing Highway Performance Monitoring System (HPMS) method. The results show that regression kriging could provide more accurate VMT estimates than the HPMS method and linear regression, especially with a small sample size. Copyright © 2016 John Wiley & Sons, Ltd.
Original languageEnglish
Pages (from-to)769-785
Number of pages17
JournalJournal of Advanced Transportation
Volume50
Issue number5
DOIs
Publication statusPublished - Aug 2016

Keywords

  • vehicle miles traveled (VMT)
  • Highway Performance Monitoring System (HPMS)
  • regression kriging
  • spatial interpolation

Cite this