Estimating Average Daily Traffic Using ITS Data

Mei Chen, Jingxin Xia, Alejandro Anaya

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The data collected by ITS detectors have great potential in transportation statistics and research. However, their quality has been of concern because those detectors were initially designed for operations usages rather than planning usages. In this study, data collected by two regional ITS deployments are screened to weed out erroneous data. Several methods for estimating average daily traffic are evaluated. It has been observed that, while ITS detector data might not be as accurate as those collected by automatic traffic recorders used in planning applications, it is possible to obtain relatively accurate estimates based on short-term traffic data that has high quality.

Original languageEnglish
Title of host publicationTowards a Vision for Information Technology in Civil Engineering
Subtitle of host publicationProceedings of the Fourth Joint International Symposium on Information Technology in Civil Engineering
EditorsI. Flood, I. Flood
Pages339-348
Number of pages10
StatePublished - 2003
EventTowards a Vision for Information Technology in Civil Engineering: Proceedings of the Fourth Joint International Symposium on Information Technology in Civil Engineering - Hashville, TN, United States
Duration: Nov 15 2003Nov 16 2003

Publication series

NameTowards a Vision for Information Technology in Civil Engineering

Conference

ConferenceTowards a Vision for Information Technology in Civil Engineering: Proceedings of the Fourth Joint International Symposium on Information Technology in Civil Engineering
Country/TerritoryUnited States
CityHashville, TN
Period11/15/0311/16/03

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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