Evaluation of the crash mitigation effect of low-speed automated emergency braking systems based on insurance claims data

Isaksson-Hellman, Irene; Lindman, Magdalena

doi:10.1080/15389588.2016.1186802

Cited by 30 publications

(17 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Retrospective assessment has been performed e.g. by analysis of insurance claims data (Doyle, Edwards, & Avery, 2015;Isaksson-Hellman & Lindman, 2016;Cicchino, 2017;Cicchino, 2018;Kuehn, Hummel, & Bende, 2009), by meta-data analysis in Fildes et al (2015), by using national crash databases as in Sternlund et al (2017), Gårder & Davies (2006) or Persaud et al (2001) and by analysing naturalistic driving (ND) data (McLaughlin, Hankey, & Dingus, 2008;van Noort, Faber, & Bakri, 2012). The assessment provides the true representation of the effect of the systems, but it may require a long time until the systems can be evaluated.…”

Section: Introductionmentioning

confidence: 99%

Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results

Kovaceva¹,

Bálint²,

Schindler³

et al. 2020

Accident Analysis & Prevention

View full text Add to dashboard Cite

Cyclists and pedestrians account for a significant share of fatalities and serious injuries in the road transport system. In order to protect them, advanced driver assistance systems are being developed and introduced to the market, including autonomous emergency braking and steering systems (AEBSS) that autonomously perform braking or an evasive manoeuvre by steering in case of a pending collision, in order to avoid the collision or mitigate its severity.This study proposes a new prospective framework for quantifying safety benefit of AEBSS for the protection of cyclists and pedestrians in terms of saved lives and reduction in the number of people suffering serious injuries. The core of the framework is a novel application of Bayesian inference in such a way that prior information from counterfactual simulation is updated with new observations from real-world testing of a prototype AEBSS.As an illustration of the method, the framework is applied for safety benefit assessment of the AEBSS developed in the European Union (EU) project PROSPECT. In this application of the framework, counterfactual simulation results based on the German In-Depth Accident Study Pre-Crash Matrix (GIDAS-PCM) data were combined with results from real-world tests on proving grounds.The proposed framework gives a systematic way for the combination of results from different sources and can be considered for understanding the real-world benefit of new AEBSS. Additionally, the Bayesian modelling approach used in this paper has a great potential to be used in a wide range of other research studies.

show abstract

Section: Introductionmentioning

confidence: 99%

Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results

Kovaceva¹,

Bálint²,

Schindler³

et al. 2020

Accident Analysis & Prevention

View full text Add to dashboard Cite

show abstract

“…One of these technologies is Autonomous Emergency Braking (AEB), a system that detects imminent collisions and responds by automatically applying the brakes and slowing down the vehicle. AEB has been available on a range of passenger cars and heavy vehicles on the market for almost a decade and its effectiveness in the real world has been proven [ 1 , 3 , 4 , 5 ]. More recently, research has suggested that AEB could be effective also on other types of road vehicles, in particular motorcycles [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles

Gil

Savino

Piantini

et al. 2018

Sensors

View full text Add to dashboard Cite

Advanced driver assistance systems, ADAS, have shown the possibility to anticipate crash accidents and effectively assist road users in critical traffic situations. This is not the case for motorcyclists, in fact ADAS for motorcycles are still barely developed. Our aim was to study a camera-based sensor for the application of preventive safety in tilting vehicles. We identified two road conflict situations for which automotive remote sensors installed in a tilting vehicle are likely to fail in the identification of critical obstacles. Accordingly, we set two experiments conducted in real traffic conditions to test our stereo vision sensor. Our promising results support the application of this type of sensors for advanced motorcycle safety applications.

show abstract

“…where PR y is the AEB penetration rate in year y; NPR y is the AEB new vehicle penetration rate in year y; NV y is the number of all new vehicles sold in China in year y; VO y is the number of vehicles owned per 1000 people in year y; and Pop y is the population of China in year y. The vehicle ownership per 1000 people through 2030 is calculated by Equation (6). The Gompertz function has been widely applied to estimate country-level vehicle ownership based on the economic factors [23].…”

Section: Penetration Rate Of Aeb In the Chinese Marketmentioning

confidence: 99%

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

Tan

Zhao

Hao

et al. 2020

IJERPH

View full text Add to dashboard Cite

The automatic emergency braking (AEB) system is an effective intelligent vehicle active safety system for avoiding certain types of collisions. This study develops a national-level safety impact evaluation model for this intelligent vehicle function, including the potential maximum impact and realistic impact. The evaluation model was firstly applied in China to provide insights into Chinese policymaking. Road traffic fatality and severe injury trends, the proportion of different collision types, the effectiveness of collision avoidance, and the AEB market penetration rates are considered in the potential maximum impact scenario. Furthermore, the AEB activation rate and the technology’s technical limitations, including its effectiveness in different weather, light, and speed conditions, are discussed in the realistic scenario. With a 100% market penetration rate, fatalities could be reduced by 13.2%, and injuries could be reduced by 9.1%. Based on China’s policy, the market penetration rate of intelligent vehicles with AEB is predicted to be 34.0% in 2025 and 60.3% in 2030. With this large market penetration rate increase of AEB, the reductions in fatalities and severe injuries are 903–2309 and 2025–5055 in 2025; and 1483–3789 and 3895–7835 in 2030, respectively. Considering AEB’s activation rate and its three main limitations, the adjusted realistic result is approximately 2/5 of the potential maximum result.

show abstract

Evaluation of the crash mitigation effect of low-speed automated emergency braking systems based on insurance claims data

Cited by 30 publications

References 2 publications

Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results

Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results

Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles

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

Contact Info

Product

Resources

About