Leveraging Telematics Data for Enhanced Traffic Safety: Unveiling Crash-Prone Hotspots and Mitigating Incidents - Phase 2

Cutting-edge connected-vehicle (CV) telematics now stream billions of instantaneous speed, heading, and hard- maneuver records across Texas roadways—an untapped resource for proactive safety management. Phase I of Project 0-7200 capitalized on this opportunity by (1) surveying and vetting statewide CV data sources, (2) building rigorous preprocessing pipelines and a strategic data-archiving scheme with the Receiving Agency, (3) defining data-driven “near-crash” events, and (4) creating proof-of-concept analytics that locate and rank high-risk corridors. Two single-user prototype web tools—TTI’s near-crash explorer and UTA’s multi-criteria hotspot-ranking dashboard—proved the approach valid, with results aligning closely with the Crash Records Information System (CRIS). Phase II will transform those prototypes into a secure, cloud-based, multi-user platform capable of statewide, high-volume ingestion and real-time analytics—advancing the solution to TRL 8 (actual system completed and “TxDOT-pilot ready”). The research teams will, optimize the data-processing engine for scalability, integrate interactive visualizations with enterprise authentication, automate continuous data refresh and long-term archiving, and embed crash- prediction models that fuse telematics with CRIS and roadway inventory. The research teams will develop a decision-support tool that lets TxDOT’s districts quickly pinpoint emerging crash-prone hotspots and deploy targeted countermeasures.

• Record URL:
  • https://library.ctr.utexas.edu/Presto/project=7200-01
• Supplemental Notes:
  • See also TxDOT Research Project 0-7200: https://library.ctr.utexas.edu/Presto/project=0-7200

Language

• English

Project

• Status: Active
• Funding: $504,115.70
• Contract Numbers:

  0-7200-01

• 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:

  Adediwura, Jade

• Performing Organizations:

  University of Texas at Arlington

  Box 19308
  Arlington, TX  United States  76019-0308

  Texas A&M Transportation Institute

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

  Wu, Jason (Dayong)

• Start Date: 20260520
• Expected Completion Date: 20270831
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Artificial intelligence; Cloud computing; Connected vehicles; Crash risk forecasting; Data analysis; Decision support systems; High risk locations; Real time information; Telematics; Traffic crashes; Traffic safety
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01995307
• Record Type: Research project
• Source Agency: Texas Department of Transportation
• Contract Numbers: 0-7200-01
• Files: RIP, STATEDOT
• Created Date: Jul 10 2026 5:07PM