Analyzing Transportation Big Data with GIS: Detecting Over-speeding Vehicles from Traffic GPS Data

Details

• Creators:
  Chen, Yulu ; Tsou, Ming-Hsiang ; Nara, Atsushi
• Corporate Creators:
  San Diego State University. Center for Human Dynamics in the Mobile Age. ; San Diego State University. Department of Geography ; Virginia Tech Transportation Institute ; Safety through Disruption (Safe-D) University Transportation Center (UTC)
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Data analysis
  • Database management systems
  • Driver monitoring
  • Speed data
  • Speeding
  • High risk drivers
  • Visualization
  • Mathematical prediction
• Resource Type:
  Manuscript
• Geographical Coverage:
  United States
• Corporate Publisher:
  Safety through Disruption (Safe-D) University Transportation Center (UTC) ; Virginia Tech Transportation Institute
• Abstract:
  With the popularity of automobiles and increasing volume of vehicles, the traffic accident rates in U.S. cities are increasing year by year. The aggressive driving behaviors can be considered as one of the main reasons to lead to serious traffic crashes according to AAA (American Automobile Association) Foundation for Traffic Safety. Over-speeding is one major problem in the category of aggressive driving behaviors. The Center for Human Dynamics in the Mobile Age (HDMA) at San Diego State University is cooperating with Virginia Tech Transportation Institute to study “Big Data Visualization and Spatiotemporal Modeling of Aggressive Driving” under the Safety Through Disruption (SAFE-D) Project (SAFE-D, 2018) funded by US Department of Transportation. This project aims to identify aggressive driving behaviors and visualize them by using various big data analytics and spatial analysis technologies. We utilized the experimental data for Safety Pilot Model Deployment (SPMD) program, which was a real-world data collection program with vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication devices in October 2012 and April 2013 in Washtenaw County, Michigan (Gold, 2012).
• Format:
  PDF
• Funding:
  69A3551747115
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/60214/dot_60214_DS1.pdf
• File Type:
  [PDF - 635.21 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:0139fd486224785494d860b55cf3e628c259423b840df74b3862fbc501488d7ccf16bf6338163038997b35f62df49fb7dbb529b31b1f620990dd32520b9f3a44