Road Weather Management Program
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Best Practices for Road Weather Management Version 2.0

Title:

Assessing Crash Occurrence on Urban Freeways by Applying a System of Interrelated Equations

Abstract:

In this study multiple binary categorizations of crashes were created to identify the factors associated with their frequencies using geometric characteristics of the freeway and microscopic traffic variables based on loop detector data. These categorizations include: (1) Multiple and Single vehicle crashes, (2) Peak and Off-peak period crashes, (3) Dry and Wet pavement crashes, (4) Daytime and Dark hour crashes, and (5) Property Damage Only (PDO) and injury crashes. Models for frequency of the two groups of crashes are estimated separately for all five of the aforementioned categorizations. Median type and pavement surface type were among the important factors affecting crashes. AADT was significant in most models and the 15-minute coefficient of variation of speed was significant for frequency of day-time and peak-period crashes.

Source(s):

85th Transportation Research Board (TRB) Annual Meeting; University of Central Florida and Florida DOT. For an electronic copy of this resource, please direct your request to WeatherFeedback@dot.gov.

Date: 2006

Author:

Abdel-Aty, Pemmanaboina, Hsia

Keywords:


Safety
Pavement condition

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