Using Naturalistic Data to Develop Simulator Scenarios
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2017-11-01
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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.
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