Linking Oregon Driver Records and Crash Data to Evaluate Interventions and Mitigate Driver Risk

Hurwitz, David; Jashami, Hisham; Gray, Aiden

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Linking Oregon Driver Records and Crash Data to Evaluate Interventions and Mitigate Driver Risk

2026-02-01
By Hurwitz, David ; Jashami, Hisham ; Gray, Aiden

File Language:

English

Details

Creators:

Hurwitz, David ; Jashami, Hisham ; Gray, Aiden
Corporate Creators:

Oregon State University
Corporate Contributors:

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

OR-RD-26-01 ; TR-24-24-11-00
Resource Type:

Tech Report
Geographical Coverage:

United States ; Oregon
Edition:

Final Report
Corporate Publisher:

Oregon. Department of Transportation. Research Section
Abstract:

ODOT seeks to reduce the number of risky drivers on the road through driver improvement programs, but the efficacy of these programs are rarely assessed. This report details the methodology for creating a linked database combining driver, verdict, accident, and crash data from ODOT to evaluate program performance and trends in risky driver behaviors. The linked database was used to generate visualizations of citation and crash data between the years 1995-2024, which were used to identify demographic trends and shifts in administrative procedures. In addition to visualization, several models were built to predict the probability of different crash types based on a variety of demographic factors. These models can help identify which groups are the most likely to engage in risky driving, knowledge which can tailor future intervention strategies.
Format:

PDF
Funding:

30530, 24-07
Download URL:

https://rosap.ntl.bts.gov/view/dot/88928/dot_88928_DS1.pdf
File Type:

[PDF - 3.51 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:082882b049756bf0194032f26e35d67a08726f889deaa2c79f0b71e27a14348a1187b0c2e16fcae5f1b4476c7d4591ab9bee704c259315651ec387e592971e7f

File Language:

English

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