Synthesis on Automated Pedestrian Data Collecting Techniques and Applications in Transportation Planning, Design and Management

Cities in the United States have been experiencing a significant increase in the number of pedestrian fatalities, even as the increased intensity of pedestrian movement. Thus, there is a critical need for accurate, reliable, and comprehensive information about pedestrian travel movements to support planning, design, and management of pedestrian infrastructure as part of a larger regional surface transportation system. In this project, the research team will undertake a comprehensive literature review on the state-of-the-art and the state-of-the-practice of automated pedestrian detection techniques. Additional insights shall be solicited from nationwide surveys and interviews. The outcome is an assessment of the different automated data collection methods, including well established and emerging artificial intelligence (AI)- and sensor-based technologies, to evaluate their appropriateness and efficacy in different environments and for supporting data collection and usage efforts. In addition to generating a research report, the research team will provide TxDOT with a decision support system that compiles information gathered through the literature review, survey, interviews, and trainings while integrating economic analyses. The practical support tool shall be structured to directly and seamlessly feed into TxDOT’s strategic planning and design efforts and enhance current operations.

• Record URL:
  https://library.ctr.utexas.edu/Presto/project=0-7126

Language

• English

Project

• Status: Active
• Funding: $65,000
• Contract Numbers:

  0-7126

• 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:

  Schwerdt, Tom

• Performing Organizations:

  Center for Transportation Research

  3925 W. Braker Lane
  Austin, TX  United States  78759
• Principal Investigators:

  Perrine, Kenneth A

• Start Date: 20210901
• Expected Completion Date: 20220831
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Alternatives analysis; Automatic data collection systems; Decision support systems; Detection and identification technologies; Fatalities; Pedestrian areas; Pedestrian movement; Pedestrians
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01782717
• Record Type: Research project
• Source Agency: Texas Department of Transportation
• Contract Numbers: 0-7126
• Files: RIP, STATEDOT
• Created Date: Sep 23 2021 12:12PM