Big Data Visualization and Spatiotemporal Modeling of Aggressive Driving

More than half of fatal traffic crashes occur due to aggressive driving according to AAA (American Automobile Association) Foundation for Traffic Safety. Ubiquitous technology has made it possible to monitor driver behavior at a high frequency for a long period of time. This provides an opportunity for researchers to investigate risky driving behavior at a large scale. This project aims to develop a big data analytics framework and visualization tool to conduct spatiotemporal modeling and classify and visualize aggressive driving behavior using data from emerging technology. As an essential safety planning tool in the era of big data, this framework/tool can be used to identify where and when aggressive driving occurs. The Safety Pilot Model Deployment (SPMD) data, one of large transportation datasets available via the Federal Highway Administration (FHWA) Research Data Exchange (RDE) program will be used as a big data example. A classification model will be developed to discriminate aggressive driving from normal driving using kinetic and environmental geographic information system (GIS) data. Web-based data visualization tools will also be developed to identify the spatial and temporal distribution of aggressive driving. Furthermore, data visualization in a simulated real-time scenario will be conducted to produce insights from future transportation data considering the anticipated widespread adoption of autonomous and connected vehicle technology.


  • English


  • Status: Completed
  • Funding: $280672
  • Contract Numbers:


  • 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:

    Safety through Disruption University Transportation Center (Safe-D)

    Virginia Tech Transportation Institute
    Blacksburg, VA  United States  24060
  • Project Managers:

    Harwood, Leslie

  • Performing Organizations:

    San Diego State University

    5500 Campanile Dr
    San Diego, CA  United States  92182

    Virginia Tech Transportation Institute

    3500 Transportation Research Plaza
    Blacksburg, Virginia  United States  24061
  • Principal Investigators:

    Jahangiri, Arash

  • Start Date: 20180201
  • Expected Completion Date: 20190531
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01658903
  • Record Type: Research project
  • Source Agency: Safety through Disruption University Transportation Center (Safe-D)
  • Contract Numbers: 69A3551747115
  • Files: UTC, RIP
  • Created Date: Feb 2 2018 6:25PM