United States Department of Transportation
i
AI and Decision Support Systems for Crash Preventability PAR Processing
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2024-12-01
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[PDF-2.38 MB]
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Edition:Final Report, September 2020–November 2021
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Abstract:Automation processes and related machine learning techniques are being implemented across most industries to increase production or performance output or to reduce repetitive human tasks. The incorporation of automation elements into the Crash Preventability Determination Program conducted by the Federal Motor Carrier Safety Administration would help alleviate overburdened staff through a human-in-the-loop model of automation implementation in which a decision support system is developed to identify data elements within police accident reports submitted to the program and provide useful output to the team members.
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