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Citation
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Aukema A, Berman K, Gaydos T, Sienknecht T, Chen CL, Wiacek C, Czapp T, St Lawrence S. 27th International Technical Conference on the Enhanced Safety of Vehicles (ESV); April 3-6, 2023; Abstract #: 23-0170, pp. 15p. Washington, DC USA: US National Highway Traffic Safety Administration, 2023 open access. |
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Abstract
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27th International Technical Conference on the Enhanced Safety of Vehicles (ESV): Enhanced and Equitable Vehicle Safety for All: Toward the Next 50 Years
In 2020, an estimated 2.3 million people were injured in traffic crashes, and 38,824 people were killed on U.S. roadways [1]. Advanced driver assistance systems (ADAS) in passenger vehicles hold the potential to reduce traffic crashes, prevent serious injuries, and save thousands of lives on our roadways each year. Given the growing rate at which auto manufacturers are equipping vehicles with ADAS [2], there is an increasing need to study and understand the safety benefits and potential limitations of these technologies. To address this need, the Partnership for Analytics Research in Traffic Safety (PARTS) was formed in 2018 as an independent, voluntary data sharing and analysis partnership among eight automobile manufacturers and the United States Department of Transportation (USDOT). The not-for-profit MITRE Corporation (MITRE) operates PARTS as the independent third party and conducted this study at the direction of and in collaboration with the PARTS partners. The objective of this PARTS study was to explore the real-world effectiveness of ADAS features in reducing system-relevant crashes, specifically front-to-rear crashes for forward collision warning (FCW) and automatic emergency braking (AEB) and single-vehicle road-departure crashes for lane departure warning (LDW), lane keeping assistance (LKA), and lane centering assistance (LCA). This study combined 13 states' police-reported crash data (2016 to 2021) with vehicle equipment data from 47 million vehicles representing 93 vehicle models (model years 2015 to 2020), resulting in the study dataset of 2.4 million crash-involved vehicles. This study defined three crash severities (all, injury, serious) and estimated ADAS effectiveness for each using quasi-induced exposure and logistic regression, comparing vehicles equipped with ADAS against vehicles without those features. For the population of all front-to-rear crashes, the study estimated that crashes were reduced by 49% (Wald 95% CI: 48 to 50%) when the striking vehicle was equipped with both FCW and AEB compared against striking vehicles that were not equipped with either. For FCW alone, the estimated reduction is 16% (13 to 20%). For the population of front-to-rear crashes involving injury, effectiveness estimates were slightly higher. The study estimated that front-torear crashes were reduced by 53% (51 to 54%) when the striking vehicle was equipped with both FCW and AEB. For FCW alone, the estimated reduction for crashes with injuries is 19% (13 to 25%). Altogether, this study shows that the combination of warning and active braking reduced more front-to-rear collisions than warnings alone. The study demonstrates that AEB performs well even when weather and lighting conditions are not ideal. This study investigated the effectiveness of Pedestrian AEB with non-motorists but was unable to detect an effect. For single vehicle road departure crashes, this study estimated that LDW and LKA reduced crashes by 8% (5 to 12%). When adding LCA, crashes are reduced by about the same amount (9%, 4 to 14%). This study did not find significant results for vehicles equipped with LDW alone.
Language: en |