Integrating Non-Motorist Facility Data into Comprehensive Road Safety Assessment

This project aims to enhance pedestrian and bicyclist safety understanding, bolster educational and professional capacities, and facilitate the practical implementation of computer vision techniques in transportation planning and engineering, ultimately leading to safer transportation systems for pedestrians and cyclists. The project will address challenges in gathering pedestrian facilities data and assessing safety concerns for pedestrians and bicyclists, encompassing a comprehensive process involving literature review, case study design, data collection and preparation, model development and validation, result analysis, and recommendation formulation. Through innovative approaches utilizing satellite images and image processing techniques such as spatial analytics and deep learning models, the project intends to extract crucial information about pedestrian and bicyclist facilities and nighttime streetlight conditions. By leveraging deep neural networks and statistical analysis, the project aims to compare longitudinal datasets, predict injury risks, identify high-risk areas, and unravel potential risk factors and relationships contributing to pedestrian and bicycle accidents, thereby informing evidence-based decisions and interventions. The outcomes of this project will be disseminated through technical reports and academic discussion, contributing to the understanding of non-motorist safety, encouraging further research, and providing educational resources for transportation programs.

• Record URL:
  https://www.pedbikesafety.org/projects/23uwm02

Language

• English

Project

• Status: Completed
• Funding: $97577
• Contract Numbers:

  69A3552348336

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Center for Pedestrian and Bicyclist Safety

  University of New Mexico
  Albuquerque, NM  United States  87131
• Project Managers:

  Melendrez, Carman

  Stearns, Amy

• Performing Organizations:

  University of Wisconsin-Milwaukee

  Department of Civil and Environmental Engineering/Institute for Physical Infrastructure and Transportation
  Milwaukee, WI  United States  53211
• Principal Investigators:

  Qin, Xiao

• Start Date: 20230601
• Expected Completion Date: 20240531
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Bicycle facilities; Crash risk forecasting; Data collection; Image analysis; Neural networks; Night; Pedestrian areas; Pedestrian safety; Street lighting
• Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01890176
• Record Type: Research project
• Source Agency: Center for Pedestrian and Bicyclist Safety
• Contract Numbers: 69A3552348336
• Files: UTC, RIP
• Created Date: Aug 17 2023 8:18AM