Automated Wildlife Detection for Wildlife Vehicle Collision Reduction

Large mammals cross highways to access core habitat areas, presenting significant safety hazards for Oregon drivers. Transportation infrastructure can in turn present significant disruption for wildlife connectivity. Automated wildlife detection systems tailored for Oregon conditions could enable Oregon Department of Transportation (ODOT) to efficiently assess the performance of constructed wildlife passage features, validate predicted wildlife crossing locations, monitor changes in the timing and location of crossing patterns as the climate and populations change, provide cost-effective detection systems for the many areas where crossing structures are not feasible, and most importantly reduce wildlife vehicle collisions.

Language

• English

Project

• Status: Active
• Contract Numbers:

  SPR 867

• Sponsor Organizations:

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Managing Organizations:

  Oregon Department of Transportation

  355 Capital St NE MS42
  Salem, Oregon  United States  97301
• Project Managers:

  Glover-Cutter, Kira

• Performing Organizations:

  Oregon State University, Corvallis

  Corvallis, OR  United States  97331
• Principal Investigators:

  Zhang, Yue

• Start Date: 20220901
• Expected Completion Date: 20270331
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Animal vehicle crashes; Automation; Detection and identification systems; Wildlife; Wildlife crossings
• Geographic Terms: Oregon
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01964189
• Record Type: Research project
• Source Agency: Oregon Department of Transportation
• Contract Numbers: SPR 867
• Files: RIP, STATEDOT
• Created Date: Aug 28 2025 11:42AM