2019
DOI: 10.1080/15389588.2019.1576172
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Characteristics of rear-end crashes involving passenger vehicles with automatic emergency braking

Abstract: Objectives: Automatic emergency braking (AEB) is a proven effective countermeasure for preventing front-to-rear crashes, but it has not yet fully lived up to its estimated potential. This study identified the types of rear-end crashes in which striking vehicles with AEB are overrepresented to determine whether the system is more effective in some situations than in others, so that additional opportunities for increasing AEB effectiveness might be explored. Methods: Rear-end crash involvements were extracted fr… Show more

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Cited by 25 publications
(4 citation statements)
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“…Cicchino reports that AEB reduces rear-end collision rates by 43% [3]. AEB has been shown to reduce front impact crash rates by 27% [22]. The effectiveness at preventing pedestrian fatalities and injuries due to impact by the front of a car was 44% and 33%, respectively [9], the same as collisions with road obstacles.…”
Section: Percentage Reduction In Injuries and Fatalities For Aeb Withmentioning
confidence: 99%
“…Cicchino reports that AEB reduces rear-end collision rates by 43% [3]. AEB has been shown to reduce front impact crash rates by 27% [22]. The effectiveness at preventing pedestrian fatalities and injuries due to impact by the front of a car was 44% and 33%, respectively [9], the same as collisions with road obstacles.…”
Section: Percentage Reduction In Injuries and Fatalities For Aeb Withmentioning
confidence: 99%
“…On average, the probability of accidents occurring on curved roads is five times higher than on straight roads [34]. Cicchino et al analyzed rear-end collision data from 23 U.S. states during 2009 and 2016, revealing that vehicles equipped with AEB had a significantly higher likelihood of collisions when turning compared to moving straight [35]. Zhang et al introduced a target recognition model designed to acquire road curvature and to calculate the relative lateral distances, addressing the issue of incorrect recognition in the AEB systems on curved roads [36].…”
Section: Introductionmentioning
confidence: 99%
“…Previous research has shown multiple factors contribute to rear-end crashes, such as gender, age, and alcohol use, environment (time, weather conditions), road condition (surface and physical characteristics) (Li et al, 2014;Mendez & Izquierdo, 2010), vehicle type (Nikiforos, 2008) and the number of traffic lanes (Meng & Qu, 2012;Kim et al, 2016). However, research and studies on the rear-end impact crash characteristics in ASEAN countries, especially in Malaysia are lacking (Cicchino & Zuby, 2019). Therefore, this research serves as a preliminary study to investigate the characteristic of rear-end impact crash, in order to develop preventive programs in Malaysia.…”
Section: Introductionmentioning
confidence: 99%