Traffic Safety Measures Using Multiple Stream Real Time Data

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 projects 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. The study will use preliminary models and tools that the team has already built, including: (1) Advanced predictive measures using historical accident data and (2) Preliminary risk predictive models built using publically available 100-car Naturalistic Driver Behavior (NDB) Data. The project intends to validate and further enhance the driver behavior model using SHARP2 database. The project will pursue the following objectives: (1) Development of appropriate data models and a database using the above multiple data streams; (2) Development of a safety risk predictive model using the above fused database; (3) Preliminary architecture for an on-board driver alert system. The following outcomes are expected: (1) One technical article that will be submitted for publication in a prestigious journal in the field. This article will describe the analytics and results and (2) A smart phone APP.


  • English


  • Status: Active
  • Funding: $99014.00
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Ott, Patricia

    Szary, Pat

  • Performing Organizations:

    Center for Advanced Infrastructure and Transportation

    Rutgers University
    100 Brett Rd
    Piscataway, NJ  United States  08854-8058
  • Principal Investigators:

    Jafari, Mohsen

  • Start Date: 20150401
  • Expected Completion Date: 0
  • Actual Completion Date: 20160630
  • Source Data: RiP Project 39662

Subject/Index Terms

Filing Info

  • Accession Number: 01563573
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: DTRT12-G-UTC16, CAIT-UTC-055
  • Files: UTC, RiP
  • Created Date: May 19 2015 1:00AM