Improved Systematic Analysis To Predict Roadway Safety Performance

Wang, Haizhong; Li, Xiugang; Siam, Mohammad Rayeedul Kalam; Staes, Brian M

i

Improved Systematic Analysis To Predict Roadway Safety Performance

2024-02-01
By Wang, Haizhong ; Li, Xiugang ; Siam, Mohammad Rayeedul Kalam

File Language:

English

Details

Creators:

Wang, Haizhong ; Li, Xiugang ; Siam, Mohammad Rayeedul Kalam ; Staes, Brian M
Corporate Creators:

Oregon State University
Corporate Contributors:

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

FHWA-OR-RD-24-02
Resource Type:

Tech Report
Geographical Coverage:

Oregon;United States
Edition:

Final Report
Corporate Publisher:

Oregon. Dept. of Transportation. Research Section
Abstract:

This study presents the results of a review and developed framework for implementing a data-driven safety analysis in Oregon Department of Transportation’s project development process. This framework considered existing best practice methodologies at the federal level from the FHWA and Transportation Research Board as well as those currently being used both other state DOTs. The framework considered available commercial software for conducting safety analysis at both the systemic and predictive levels, and tools developed in house both state DOTs. With the methods and possible solutions documented, the data constraints were outlined and a decision-making framework for a phased implementation reached. The outcomes of this project will allow ODOT to consider a framework towards the successful implementation of DDSA into the project development process, including both agency changes and possible software and data structures required.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/73432/dot_73432_DS1.pdf
File Type:

[PDF - 5.74 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:880058559a78d5baa58ca0ae6bf9c8fa73fee0703da27d02aaddac732a07e7325cd4cb6b302237d0708cf7a9f9532b516a0e960b3803ffbc806afd38e5a8e4e1

File Language:

English

ON THIS PAGE

Details

Found an issue?

Send us an email at:

publishinghd@cdc.gov

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.