Automatic Emergency Braking (AEB) System Impact on Fatality and Injury Reduction in China

Tan, Hong; Zhao, Fuquan; Hao, Han; Liu, Zongwei; Amer, Amer Ahmad; Babiker, Hassan

doi:10.3390/ijerph17030917

Cited by 37 publications

(16 citation statements)

References 17 publications

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“…Specifically, ADAS technologies, such as AEB and LKA, are touted as being technologies that are likely to reduce road trauma both globally [4,8,9,35,36], and in Australia [30,[37][38][39]. AEB has the ability to detect potential frontal impacts (either with cars or pedestrians, depending on the type of AEB), warn the driver and/or engage automatic vehicle braking if a crash appears imminent.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Lost Safety Benefits of ADAS Technologies Due to Inadequate Supporting Road Infrastructure

et al. 2022

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Advanced driver assistance systems (ADAS) provide warnings to drivers and, if applicable, intervene to mitigate a collision if one is imminent. Autonomous emergency brakes (AEB) and lane keep assistance (LKA) systems are mandated in several new vehicles, given their predicted injury and fatality reduction benefits. These predicted benefits are based on the assumption that roads are always entirely supportive of ADAS technologies. Little research, however, has been conducted regarding the preparedness of the road network to support these technologies in Australia, given its vastly expansive terrain and varying road quality. The objective of this study was to estimate what proportion of crashes that are sensitive to AEB and LKA, would not be mitigated due to unsupportive road infrastructure, and therefore, the lost benefits of the technologies due to inadequate road infrastructure. To do this, previously identified technology effectiveness estimates and a published methodology for identifying ADAS-supportive infrastructure availability was applied to an estimated AEB and LKA-sensitive crash subset (using crash data from Victoria, South Australia and Queensland, 2013–2018 inclusive). Findings demonstrate that while the road networks across the three states appeared largely supportive of AEB technology, the lack of delineation across arterial and sub-arterial (or equivalent) roads is likely to have serious implications on road safety, given 13–23% of all fatal and serious injury (FSI) crashes that occurred on these road classes were LKA-sensitive. Based on historical crash data, over 37 fatalities and 357 serious injuries may not be avoided annually across the three Australian states based on the lack of satisfactory road delineation on arterial and sub-arterial (or equivalent) roads alone. Further, almost 24% of fatalities in Victoria, 24% of fatalities in Queensland and 21% of fatalities in South Australia (that are AEB- or LKA-sensitive) are unlikely to be prevented, given existing road infrastructure. These figures are conservative estimates of the lost benefits of the technologies as they only consider fatal and serious injury crashes and do not include minor injury or property damage crashes, the benefits of pedestrian-sensitive AEB crashes in high-speed zones or AEB fitted to heavy vehicles. It is timely for road investments to be considered, prioritised and allocated, given the anticipated penetration of the new technologies into the fleet, to ensure that the road infrastructure is capable of supporting the upcoming fleet safety improvements.

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Section: Introductionmentioning

confidence: 99%

Quantifying the Lost Safety Benefits of ADAS Technologies Due to Inadequate Supporting Road Infrastructure

et al. 2022

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“…Technologies to avoid or mitigate the effect of accidents or crashes have been developed. The works [3][4][5][6][7] are categorized as active technology which assists the driver to prevent an accident. The works [8][9][10][11] are categorized as passive technology where the structure of the vehicle is designed to protect the passengers and driver from fatal injury, minimizing fatalities.…”

Section: Introductionmentioning

confidence: 99%

Development of impact attenuator analysis tools in crash scenario using Euler method and finite element analysis

et al. 2022

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The problem considered in this work is the development of simulation method for simulating car crash which utilizes simple car—impact attenuator model developed in MATLAB. Usually, car crash simulation is done using full finite element simulation which could take hours or days depending on the model size. The purpose of proposed method is to achieve quick results on the car crash simulation. Past works which utilizes simple car—impact attenuator model to simulate car crash use continuous time model and the impact attenuator parameter is obtained from the experimental results. Different from the related works, this work uses discrete time model, and the impact attenuator parameter is obtained from finite element simulation. Therefore, the proposed simulation method is not only achieving quick simulation results but also minimizing the cost and time in obtaining the impact attenuator parameter. The proposed method is suitable for parametric study of impact attenuator.

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“…ICVs have huge social benefits. The deployment of ICVs is regarded as a significant solution to improve road safety, transportation management, and energy efficiency, of which the total benefits may reach 13.25 to 24.02 trillion CNY in 2050 in China [3,4,5].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Business Models of the Intelligent and Connected Vehicle Industry

2020

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Intelligent connected vehicles (ICV) are recognized as a great opportunity with huge social benefits by the global auto industry. Governments of various countries attach great importance to them, and traditional Original Equipment Manufacturer (OEM) and technology companies are also introducing them into consumers’ lives by virtue of various business models, thereby generating practical value. The business model plays a decisive role in determining whether a company can share the ICV market cake and its future position in the industry. More importantly, it will also determine how fast the ICVs can become reality from imagination. In this paper, the ICV industry ecosystem was sorted out, the business models of ICVs adopted by mainstream OEMs were analyzed, and five typical business models were summarized, i.e. platform model, self-transformation model, traditional Tier1 dependence model, alliance model, and outsourcing model. On this basis, the SWOT analysis method was adopted to systematically analyze the internal and external advantages and disadvantages of the five business models, and forward insights on enterprises’ developing and maintaining the competitive advantages in the ICV industry were proposed from five perspectives of technology, market timing, customer experience, brand, and data.

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Automatic Emergency Braking (AEB) System Impact on Fatality and Injury Reduction in China

Cited by 37 publications

References 17 publications

Quantifying the Lost Safety Benefits of ADAS Technologies Due to Inadequate Supporting Road Infrastructure

Quantifying the Lost Safety Benefits of ADAS Technologies Due to Inadequate Supporting Road Infrastructure

Development of impact attenuator analysis tools in crash scenario using Euler method and finite element analysis

Analysis of the Business Models of the Intelligent and Connected Vehicle Industry

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