Using Naturalistic Data to Develop Simulator Scenarios

Details

• Creators:
  Gaspar, John ; Noyce, David A.
• Corporate Creators:
  University of Iowa. National Advanced Driving Simulator ; University of Wisconsin--Madison. Traffic Operations and Safety Laboratory
• Corporate Contributors:
  Safety Research Using Simulation (SAFER-SIM) University Transportation Center
• Subject/TRT Terms:
  Driving Simulators Human Factors In Crashes Simulation
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Safety Research Using Simulation (SAFER-SIM) University Transportation Center
• Abstract:
  The establishment of large naturalistic driver data sets, most recently the Strategic
  
  Highway Research Program 2 (SHRP2), provides unique opportunities to observe driver
  
  behavior under real-world conditions. In order to better understand the relationship
  
  between simulation and naturalistic driving, it is becoming increasingly important to develop simulator scenarios with high ecological validity. Such scenarios may then be used to draw causal inferences regarding phenomena observed in naturalistic driving video. The goal of this project was to develop driving simulator scenarios from real roadways, specifically rural curves, where naturalistic data were collected as part of the SHRP2 research program. Once the scenarios were developed, data were collected on two driving simulator platforms, the National Advanced Driving Simulator (NADS) and the full-scale driving simulator at the University of Wisconsin – Madison, which runs on the Real Time Technology platform.
  
  This report describes the process for developing the simulator scenarios from real-world
  
  data, the data collection and analysis process, and the implications for future research in transportation safety. Results from the experiments on both platforms are discussed, and they highlight the potential for a direct comparison between simulator data and naturalistic driving data. In addition to these promising results, this project will
  
  provide guidance on the future development of simulator scenarios from naturalistic data on multiple platforms, including challenges to be expected. The project results will
  
  provide an important step in bridging the naturalistic and simulator literatures.
  
  
• Format:
  PDF
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha-512:86a835103e981d1deff3f605165a78de37184893249047982f3a1a72f9690ab1a94c07749f2ab189b33cf0f43dbbca378d04f572248bd932371563e6f64233d3
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/34549/dot_34549_DS1.pdf
• File Type:
  [PDF - 2.85 MB ]