Piloting an AI-Enabled Immersive Multi-Agency Traffic Incident Management (TIM) Training Platform [Research Summary]

Details

• Creators:
  Edara, Praveen
• Corporate Creators:
  University of Missouri--Columbia. Department of Civil and Environmental Engineering
• Contributor:
  Hosey, Jenni
• Corporate Contributors:
  Missouri. Department of Transportation. Construction and Materials Division ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Traffic incidents
  • Virtual reality
  • Artificial intelligence
  • Training
  • Rural highways
  • Pilot studies
  • Data collection
  • Traffic lanes
  • Evaluation
  • Transportation departments
  More +
• Publication/ Report Number:
  cmr26-012
• Resource Type:
  Brief
• Geographical Coverage:
  United States ; Missouri
• Edition:
  Research Summary
• Corporate Publisher:
  Missouri. Department of Transportation. Construction and Materials Division
• Description:
  Traffic Incident Management (TIM) requires coordinated actions among transportation agencies, law enforcement, fire and rescue, emergency medical services, towing and recovery, dispatch, and other partners. Existing training methods differ in realism, interactivity, and logistical demands. This pilot project developed and demonstrated a modular immersive platform intended to supplement these methods with a safe, repeatable, and portable environment for examining roadway conditions, responder positioning, simulated traffic, and multi-agency coordination.
• Format:
  PDF
• Funding:
  TR202617
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/93893/dot_93893_DS1.pdf
• File Type:
  [PDF - 294.12 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:de80990eb0c965bdf6436f19053414b31fe99ef91eabc0f6fa28e9be7956c62153ed2dfddce6059c5c1b9093d20d7c6aaf2ebbd33be504bbb3b0bb4f571e8b78