Traffic Safety Measures Using Multiple Stream Real Time data

Traffic crashes and accidents result from many complex factors, but at a basic level, they are conflicts among vehicles and/or other road users. Roadway conditions, traffic signals, weather, traffic flow, drivers' behavior and health of vehicles on roadways are among significant factors that influence these conflicts. With the enormous advances in connected vehicles technology, the Internet of Things (IOT) and smart cars, the opportunities for more advanced safety techniques that are proactive and customizable to individual drivers are becoming more realizable. The main objective of this project is to build advanced analytics to estimate a composite traffic safety risk measure that change temporally and spatially, and take into account driver behavior, roadway quality conditions and historical safety characteristics of roadways. The vision is that with smart cars and smart roadways, a travel plan for a given driver will be associated with a safety risk profile composed of these risk estimates that are sampled in time and change whenever one or more of the underlying data streams change. This project will focus more on the development of such a methodology and less on how it should be implemented and calibrated for different applications.

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  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Rutgers University, Piscataway

    Department of Industrial and Systems Engineering, 96 Frelinghuysen Road
    Piscataway, NJ  United States  08854-8018

    Rutgers University, Piscataway

    Center for Advanced Infrastructure and Transportation, 100 Brett Road
    Piscataway, NJ  United States  08854-8058

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Jafari, Mohsen A
  • Publication Date: 2017-1-4


  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures;
  • Pagination: 8p

Subject/Index Terms

Filing Info

  • Accession Number: 01637836
  • Record Type: Publication
  • Report/Paper Numbers: CAIT-UTC-055
  • Contract Numbers: DTRT12-G-UTC16
  • Created Date: Jun 8 2017 12:04PM