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West Virginia University

Use of West Virginia permanent traffic recorder data to develop factors for traffic and truck variation

Abstract

dc:description.abstract

The purpose of this study was to use data collected from the 52 permanent count stations located throughout the state to develop four sets of factors that would assist the West Virginia Department of Transportation (WVDOT) in the management and engineering of the roadways in West Virginia.;The objectives of this study were to: (1) Establish correction factors that can be applied to the short-term single pneumatic tube traffic count stations to adjust for the effect of three or more axle trucks on the volume counts. (2) Establish factors that use the peak hour volume (PHV) to estimate the design hour volume (DHV). (3) Establish factors that relate the percentage of trucks in the average daily traffic (ADT) to (a) the percentage of trucks in the peak hour and (b) the percentage of trucks in the hours used by the WVDOH in conducting manual classification counts.;Using analysis of variance (ANOVA analysis) to determine statistical significance, the factors were approximately aggregated and either reported by year, month of the year, quarter, or day of the month. The only variability detected was between the interstates and the non-interstate roadways. (Abstract shortened by UMI.).

Degree

thesis:*
Name thesis:degree_name
MS
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Civil and Environmental Engineering
Year dc:date.available
2002

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • D'Angelo, Jacob Scott
Contributors dc:contributor
  • Ronald W. Eck.

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:researchrepository.wvu.edu:etd-2227

Chain of custody

source
Harvested from
West Virginia University
Base URL
researchrepository.wvu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

D'Angelo, Jacob Scott. Use of West Virginia permanent traffic recorder data to develop factors for traffic and truck variation. Thesis thesis, 2002. https://doi.org/10.33915/etd.1224