Safe by Design: Collecting Traveler Centric Data to Inform Safe Street Design

Studying Visual Experience to Inform Infrastructure Design Streets are designed for vehicle efficiency. Engineers reference vehicle-based codes, use detailed models to optimize vehicle flow, and conduct evaluations with driving simulators before implementing design. A constraint, rather than a design variable, is pedestrian and cyclist safety, as roadway designers currently lack the ability to quantify and test safety prior to construction. Collecting this missing data is at best challenging and expensive, and at worst, unsafe. Professor Megan Ryerson fills this gap by using eye tracking technology to collect and study the user-based data and perspective towards transforming how roadway designers understand, measure, and implement safety interventions.

Language

  • English

Project

  • Status: Active
  • Funding: $243500
  • Contract Numbers:

    69A3551747111

  • Sponsor Organizations:

    Carnegie Mellon University

    Mobility21 National USDOT UTC for Mobility of Goods and People
    Pittsburgh, PA  United States  15213

    Office of the Assistant Secretary for Research and Technology

    University Transportation Center Program
    ,    
  • Managing Organizations:

    Carnegie Mellon University

    Mobility21 National USDOT UTC for Mobility of Goods and People
    Pittsburgh, PA  United States  15213
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    University of Pennsylvania

    ,    
  • Principal Investigators:

    Ryerson, Megan

  • Start Date: 20200101
  • Expected Completion Date: 20230630
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01760143
  • Record Type: Research project
  • Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
  • Contract Numbers: 69A3551747111
  • Files: UTC, RIP
  • Created Date: Dec 16 2020 2:05PM