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 journalArticlepeer-review

12 Scopus citations


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.

Original languageEnglish
Pages (from-to)769-785
Number of pages17
JournalJournal of Advanced Transportation
Issue number5
StatePublished - 1 Aug 2016


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


Dive into the research topics of 'Estimating vehicle miles traveled (VMT) in urban areas using regression kriging'. Together they form a unique fingerprint.

Cite this