United States Department of Transportation
i
Baseline Analysis of Driver Performance at Intersections for the Left-Turn Assist and Intersection Movement Assist Applications
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2020-06-01
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[PDF-4.14 MB]
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Edition:Final Report, 2015-2018
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Abstract:This study supports development of left turn assist (LTA) and intersection movement assist (IMA) applications that provide warnings to drivers crossing intersections. The goal is to support improved intersection collision warning applications design by enhancing understanding of intersection behavior, identifying metrics and test procedures through analysis of real-world data, and providing information used to reduce false alerts and nuisance alerts. To do this, a literature review was conducted to identify previous research into metrics for driver behavior at intersections, and databases from two naturalistic driving studies were queried to identify scenarios that could be analyzed as examples of normal or baseline turning behavior. Crashes were also identified in a national crash database and analyzed as examples of driving where alerts would have been useful. The analyses focused on estimating the size of accepted gaps -- the time from when the driver started to cross or was first able to cross after the vehicle reached the intersection and any lead vehicles ahead had moved out of the way until the oncoming vehicle reached the point where their trajectories crossed -- and what factors affected the choice to accept a gap of a given size.
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