Characterizing Curve Crashes in Florida

Bejleri, Ilir; Srinivasan, S.; Xu, X; Rodrigues-Silva, K

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Characterizing Curve Crashes in Florida

2022-08-01
By Bejleri, Ilir ; Srinivasan, S. ; Xu, X

File Language:

English

Details

Creators:

Bejleri, Ilir ; Srinivasan, S. ; Xu, X ; Rodrigues-Silva, K
Corporate Creators:

University of Florida (Gainesville)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

Florida;United States
Edition:

Final Report
Corporate Publisher:

Florida Department of Transportation
Abstract:

Curve safety has been an essential issue since curves have a higher fatality crash rate than tangent roadways segments. Many existing studies have focused on finding the relationships between risk factors and curve safety and developing customized curve safety performance functions (SPFs). However, previous researchers studied the curve safety issues using their available dataset, which limits these curve safety studies either by the sample size or due to a complete understanding of the risk factors most associated with curve safety. This study presents a novel customized GIS curve dataset and safety performance analysis for curves. Using GIS, we generate curves and curve attributes statewide, and trace the network to obtain spatial characteristics of the adjacent curves and intersections. The GIS process enabled more customized data for safety performance analysis. With six years of crash data for the entire state of Florida, the research team developed 12 sets of curve SPFs with different characteristics.
Format:

PDF
Funding:

BDV31-977-135
Download URL:

https://rosap.ntl.bts.gov/view/dot/72297/dot_72297_DS1.pdf
File Type:

[PDF - 3.36 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:43110a56ae9e7fb192d869f571177a37785f302ea868750ded8bd428d94593211d97ad16872897151a5f12affd7f3d7393e6e5f09cbab55305ae30da2e147e76

File Language:

English

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