Truck Weigh-in-Motion Statistical Analysis

Final Report

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 Final Report

Primary Investigator

Habib Tabatabai
University of Wisconsin — Milwaukee
PO Box 784, Milwaukee WI  53201
ht@uwm.edu

Abstract

Truck weights from weigh-in-motion data do not separate full trucks from empty trucks, as it is not usually possible to directly observe any truck’s payload.  Thus, truck weights follow a bimodal probability distribution.  This study will use statistical methods to separate full trucks from empty trucks, thereby producing two probability distributions.  The study will use Wisconsin data.

Objectives

Determine the probability distribution of truck weights full or empty from weigh-in-motion data.

Tasks

  1. Adapt statistical theory to truck weight data
  2. Analyze truck weight data
  3. Prepare working paper

Project Information

  • Duration: 9 months
  • Dates: September 1, 2010 – May 30, 2011
  • Budget: $3,000
  • Student Involvement: One graduate student
  • Modal Orientation: Highway
  • Project ID: CFIRE 04-29
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