Traffic Monitoring for Pedestrian and Cyclist Safety Using Deep Learning and Artificial Intelligence

Improving the safety of pedestrians and bicyclists has always been one of the priorities of transportation officials in California. Two of the main goals of Pedestrian and Bicycle Safety Branch under Caltrans’ Traffic Operations are developing programs to improve the safety of transportation infrastructures for pedestrians and bicycles; and encouraging research and technology transfer in the field of pedestrian and bicycle fatality. Understanding the movement of people, bicycles, and their interaction with vehicles is critical to avoid traffic accidents and improve safety. Currently, there is not an efficient automated system for monitoring the movement of pedestrians and bicyclists across the state of California and in major urban areas. Such system can also provide valuable information about the traffic stream parameters once implemented and calibrated. This research project will facilitate the aforementioned goals by providing a platform that allows for enhancing and improving safety measures for pedestrians and bicyclists in California using automated systems to monitor, detect, track, and count the flow of pedestrians and bicyclists.


    • English


    • Status: Active
    • Funding: $81674
    • Contract Numbers:


    • Sponsor Organizations:

      California Department of Transportation

      1227 O Street
      Sacramento, CA  United States  95843

      Office of the Assistant Secretary for Research and Technology

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

      Mineta Consortium for Transportation Mobility

      San Jose State University
      San Jose, CA  United States  95112
    • Principal Investigators:

      Pourhomayoun , Mohammad

    • Start Date: 20181215
    • Expected Completion Date: 20200315
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01690726
    • Record Type: Research project
    • Source Agency: Mineta Consortium for Transportation Mobility
    • Contract Numbers: 65A0660
    • Files: UTC, RiP
    • Created Date: Jan 9 2019 7:17PM