AI-Driven Telematics Solutions for Detecting Near-Crash Events and Safety Hotspots in Texas Transportation Networks

The research team will leverage telematics data to proactively identify near-crash events and hotspots, strengthening transportation safety management across Texas. The work will advance analytical methodologies in four areas: (1) trajectory-based analysis of vehicle movement patterns; (2) event-based analysis of critical driving behaviours such as hard braking and abrupt manoeuvres; (3) multi-criteria analysis integrating mobility, safety, and environmental performance; and (4) data fusion techniques that combine telematics with other sources, including traffic sensors and historical crash records. Building on this foundation, the research team will apply spatial-temporal analyses and machine learning predictive models to detect current and forecast future near-crash hotspots. An interactive artificial intelligence (AI)-powered decision-support system will be developed to provide transportation agencies with actionable insights for targeted safety interventions. Rural and urban case studies will demonstrate the platform’s applicability and validate its effectiveness through comparisons with historical crash data. An implementation roadmap will guide integration into agency safety management practices. The project will deliver robust analytical tools and evidence-based recommendations that can be seamlessly integrated with existing platforms—such as geographic information system (GIS) systems, roadway networks, and performance dashboards— ensuring compatibility and significantly enhancing proactive traffic safety measures statewide.

• Record URL:
  • https://library.ctr.utexas.edu/Presto/project=0-7267

Language

• English

Project

• Status: Active
• Funding: $515,820.00
• Contract Numbers:

  0-7267

• Sponsor Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Managing Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Project Managers:

  Smith, Anne

• Performing Organizations:

  Texas A&M Transportation Institute

  Texas A&M University System
  3135 TAMU
  College Station, TX  United States  77843-3135

  University of Texas at Arlington

  Box 19308
  Arlington, TX  United States  76019-0308
• Principal Investigators:

  Wu, Jason

• Start Date: 20250925
• Expected Completion Date: 20270831
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Artificial intelligence; Crash data; Decision support systems; Driving behavior; High risk locations; Incident detection; Machine learning; Near crashes; Safety management; Spatial analysis; Telematics; Traffic safety
• Geographic Terms: Texas
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01967817
• Record Type: Research project
• Source Agency: Texas Department of Transportation
• Contract Numbers: 0-7267
• Files: RIP, STATEDOT
• Created Date: Oct 2 2025 9:44AM