Lane Change Hazard Analysis Using Radar Traces to Identify Conflicts and Time-to-Collision Measures [Supporting Datasets]
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2023-02-20
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Abstract:This project analyzed existing data and assessed the safety equivalency of prototype video-based camera systems to support Federal Motor Vehicle Safety Standard 111 rulemaking efforts and investigate camera-based side view systems. The researchers mined an existing set of radar data surrounding real-world lane change events. The study was performed in Southwest Virginia using 36 drivers experiencing both conventional and camera-based systems over a month-long naturalistic exposure period (2 weeks conventional, 2 weeks camera-based). Study vehicles were instrumented with a data acquisition system to capture and record time-synchronized video and parametric measures from key-on through key-off (i.e., the entirety of each trip). Analyses focused on potential lane change conflicts and hazards identified using time-to-collision values (which in turn were derived from rear-mounted radar units) surrounding signalized lane change events. Results provided no compelling evidence to suggest that camera-based systems adversely affected lane change performance to lead to riskier or more hazardous lane changes compared to conventional mirror systems. Results instead suggested that camera-based systems, when appropriately designed, can help drivers detect potential conflicts because of the wider field of view afforded by these systems, enabling drivers to assess the presence of a vehicle in the target lane.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2023-11-28. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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