Synthesis of Automated Pedestrian Data Collecting Techniques and Applications in Transportation Planning, Design, and Management [Project Summary]

Details

• Alternative Title:
  0-7126: Synthesis of Automated Pedestrian Data Collecting Techniques and Applications in Transportation Planning, Design, and Management
• Creators:
  Perrine, Kenneth A. ; Haddad, Angela ; Bhat, Chandra R. ; Macias, Lisa
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Corporate Contributors:
  Texas. Dept. of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Pedestrians
  • Detection and identification technologies
  • Connected vehicles
  • Alternatives analysis
  • Artificial intelligence
  • Automatic data collection systems
  • Fatalities
  • Pedestrian areas
  • Pedestrian movement
  • Sensors
  More +
• Publication/ Report Number:
  0-7126
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Corporate Publisher:
  University of Texas at Austin. Center for Transportation Research
• Abstract:
  In this project, researchers undertook a comprehensive literature review on the state-of-the-art and state-of-the-practice of manual and automated pedestrian data collection techniques. They assessed different automated data collection methods, including well-established and emerging AI- and sensor-based technologies, to evaluate their appropriateness and efficacy in different environments. The reporting analyzed these technologies based on a set of relevant decision-making variables.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/64693/dot_64693_DS1.pdf
• File Type:
  [PDF - 206.95 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:6d646752182f11074ac3c781d6551d61791d6a5f6adfa84b4b32273cb98e59cb