Transportation Safety Analytics and Risk Modeling

The contract seeks to apply advanced data science techniques to enhance highway safety by developing predictive models for crash occurrences, analyzing driver behavior patterns, and detecting hazards within transportation infrastructure. The work will involve leveraging large-scale transportation datasets to identify risk factors, model human and environmental interactions on roadways, and translate findings into actionable strategies for reducing collisions and improving overall safety outcomes. This effort is centered on building analytical tools that can proactively address safety concerns before incidents occur, integrating machine learning, statistical modeling, and geospatial analysis to support evidence-based decision-making in public infrastructure management. The solicitation is issued as a subcontract under NAICS code 541690, which covers other scientific and technical consulting services, and is managed by the Department of Transportation through its 693JJ3 Acquisition and Grants Management office. Interested parties must submit proposals by August 7, 2026, with the opportunity opening for bids on July 23, 2026. The performance location and point of contact details are not specified, but the work is expected to support national transportation safety goals through innovation in data-driven risk modeling. The contract does not indicate any set-aside provisions or special eligibility requirements, and all submissions must be made through the designated SAM.gov portal.