Develop Statistical Models Quantifying the Relationship Between Pavement Surface Friction Characteristics and Traffic Accident Rates

Lee, Hyung Suk; Hall, Jim W.; Stanley, Mark

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Develop Statistical Models Quantifying the Relationship Between Pavement Surface Friction Characteristics and Traffic Accident Rates

2019-11-27
By Lee, Hyung Suk ; Hall, Jim W. ; Stanley, Mark

File Language:

English

[PDF - 10.76 MB]

Details

Creators:

Lee, Hyung Suk ; Hall, Jim W. ; Stanley, Mark
Corporate Creators:

Applied Research Associates, Inc.
Corporate Contributors:

Florida. Department of Transportation. State Materials Office
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States ; Florida
Edition:

Final Report June 2017 to December 2019
Corporate Publisher:

Florida. Department of Transportation
Description:

The objectives of this research project are to (1) quantify the relationship between pavement surface friction characteristics, traffic accident rates, and any other factor(s) deemed important and (2) determine and recommend critical threshold levels below which crash rates would significantly increase. Following a literature review and gap analysis on FDOT’s existing practice, a statistical relationship was developed between Florida’s crash rates, pavement friction and texture characteristics, as well as other pavement-related data. A number of preliminary analyses have been conducted in regards to crash, friction, and traffic distributions for determining the friction demand categories. The new statistical model was accompanied by a reliability-risk analysis for determining the recommended levels of friction. Furthermore, recommendations on FDOT’s Friction Guidelines, Friction Course Policy, and Safety Analysis Practice were developed and documented.
Format:

PDF
Funding:

BE385
Download URL:

https://rosap.ntl.bts.gov/view/dot/54709/dot_54709_DS1.pdf
File Type:

[PDF - 10.76 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:2f388874c10d26ac20103a42a291f38a2597b7eed920e8f3b9d9879fe1a5f3fb

File Language:

English

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