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

机译:使用西弗吉尼亚州的永久性行车记录仪数据来开发交通和卡车变化的因素。

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摘要

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.)
机译:这项研究的目的是利用从全州52个永久计数站收集的数据来开发四组因素,这些因素将有助于西弗吉尼亚州交通运输部(WVDOT)进行西弗吉尼亚州道路的管理和工程设计。 ;这项研究的目的是:(1)建立可应用于短期单个气动管交通计数站的校正因子,以调整三辆或更多轴运卡车对体积计数的影响。 (2)建立使用高峰小时量(PHV)估算设计小时量(DHV)的因素。 (3)建立将卡车在平均每日流量(ADT)中所占百分比与(a)高峰时段卡车所占百分比以及(b)WVDOH在进行手动分类中所用小时中卡车所占百分比相关的因素计数。使用方差分析(ANOVA分析)确定统计显着性,将这些因素近似汇总,并按年,年月,季度或月日报告。检测到的唯一变化是在州际公路和非州际公路之间。 (摘要由UMI缩短。)

著录项

  • 作者

    D'Angelo, Jacob Scott.;

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Engineering Civil.
  • 学位 M.S.C.E.
  • 年度 2002
  • 页码 p.274
  • 总页数 106
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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