Developing a Pedestrian Safety Performance Function for Oregon

Roll, Josh; Anderson, Jason; McNeil, Nathan

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Developing a Pedestrian Safety Performance Function for Oregon

2026-01-01
By Roll, Josh ; Anderson, Jason ; McNeil, Nathan

File Language:

English

[PDF - 25.21 MB]

Details

Creators:

Roll, Josh ; Anderson, Jason ; McNeil, Nathan
Corporate Creators:

Portland State University
Corporate Contributors:

Oregon. Department of Transportation. Research Section ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA-OR-RD-26-06 ; SPR 841
Resource Type:

Tech Report
Geographical Coverage:

United States ; Oregon
Edition:

Final Report
Corporate Publisher:

Oregon. Department of Transportation. Research Section
Abstract:

This report details the development of a pedestrian safety performance function (SPF) for intersections in urban areas in the state of Oregon. The report documents the process to develop SPFs for pedestrian crashes including the process to develop the data for analysis. A key innovation of this work is the use of pedestrian traffic volume estimates from traffic signals push button actuations. These data and other pedestrian traffic volume data collected through traditional methods are utilized in a machine learning data fusion model to estimate pedestrian volumes for all intersections in Oregon urban areas. SPFs are constructed for various intersection types with different traffic control. Crash prediction models using estimates of pedestrian volumes and also proxies for pedestrian volume are compared to give agencies a sense of how models perform with better pedestrian volume data.
Format:

PDF
Funding:

16292 20-05
Download URL:

https://rosap.ntl.bts.gov/view/dot/89189/dot_89189_DS1.pdf
File Type:

[PDF - 25.21 MB]
Collection(s):

Artificial Intelligence Deployment Center of Excellence (AI COE) ; US Transportation Collection
Main Document Checksum:

urn:sha-512:23b70dfeb7a48799efc7a7506adc839d7a8fc4e1e60a1f3f25aba274e85562a36c856f474f302502b8ccfe7ed31ccd469ee6f2a0daa6f01c63079817c783de37

File Language:

English

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