Real-time and Secure Analysis of Pedestrian Data for Connected Vehicles [Newsletter]

Details

• Creators:
  Apon, Amy ; Chowdhury, Mashrur (Ronnie) ; Comert, Gurcan
• Corporate Creators:
  Clemson University ; Benedict College
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Cameras
  • Connected vehicles
  • Data analysis
  • Data collection
  • Machine learning
  • Messages (Communications)
  • Pedestrian detectors
  • Pedestrian safety
  • Pedestrians
  • Signalized intersections
• Series:
  UTC Spotlight Newsletter
• Resource Type:
  Brief
• Right Statement:
  Public Domain
• Geographical Coverage:
  United States
• Edition:
  UTC Spotlight, Quarterly Issue 4
• Corporate Publisher:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Abstract:
  According to the National Highway Traffic Safety Administration (NHTSA), pedestrian fatalities increased 75% from 2012 to 2021 in urban areas. A team consisting of researchers from Clemson University and Benedict College, consortium members of the Center for Connected Multimodal Mobility (C2M2) headquartered at Clemson University, developed a vision-based real-time pedestrian safety alert system that can help reduce the crash risks involving pedestrians and vehicles.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/72433/dot_72433_DS1.pdf
• File Type:
  [PDF - 1.16 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:c59a02871609d49a86df10572c1c04bdbd6154c3b02ce73a32cb7a41029562ce0a1ab232abc3cc886b3f674a4096f8d600eb9d6b0f2e5bf31cc7a2981a67c32d