{"title":"Performance of AEB systems in preventing car-pedestrian collisions.","authors":"Hiroaki Miyoshi, Manabu Umeda","doi":"10.1080/15389588.2025.2515521","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study quantifies the performance of autonomous emergency braking (AEB) systems in preventing car-pedestrian collisions in Japan.</p><p><strong>Method: </strong>The study uses data on Japanese traffic accidents compiled by Japan's National Police Agency, restricting the analysis to collisions for which we could determine whether the primary party's car was equipped with an AEB system. Poisson mixed-effects regression analyses are conducted using data for 2022 and 2023 to quantify the collision avoidance performance of cars that were first registered in 2021 and equipped with AEB systems compared with cars without AEB systems that were first registered in 2015 or 2016.</p><p><strong>Results: </strong>Our analysis of collisions of all injury levels reveals that AEB-equipped cars that were first registered in 2021 had 12.3% (95% confidence interval [CI] 6.2%-18.0%) fewer accidents than non-AEB-equipped cars that were first registered in 2015 or 2016. The reduction for fatal and serious injury collisions alone was higher, at 15.6% (95% CI 2.2%-27.2%). A day/night analysis demonstrates a 7.6% (95% CI -0.9%-15.3%; ns) reduction in daytime collisions and a 19.0% (95% CI 9.9%-27.1%) reduction in nighttime collisions. Analysis of three car-pedestrian collision scenarios reveals a 12.1% (95% CI -0.3%-23.0%; ns) reduction in collisions of all injury levels between forward-moving cars and street-crossing pedestrians, an 9.7% (95% CI -2.2%-20.2%; ns) reduction in collisions between right-turning cars and street-crossing pedestrians, and a 21.8% (95% CI 4.8%-35.9%) reduction in collisions between forward-moving cars and pedestrians walking in the same or opposite direction.</p><p><strong>Conclusions: </strong>The results demonstrate that AEB systems are effective in reducing car-pedestrian collisions; however, performance remains low compared with the effectiveness of AEB in reducing rear-end collisions. This indicates that considerable room remains for technological improvement.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-8"},"PeriodicalIF":1.9000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Traffic Injury Prevention","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/15389588.2025.2515521","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This study quantifies the performance of autonomous emergency braking (AEB) systems in preventing car-pedestrian collisions in Japan.
Method: The study uses data on Japanese traffic accidents compiled by Japan's National Police Agency, restricting the analysis to collisions for which we could determine whether the primary party's car was equipped with an AEB system. Poisson mixed-effects regression analyses are conducted using data for 2022 and 2023 to quantify the collision avoidance performance of cars that were first registered in 2021 and equipped with AEB systems compared with cars without AEB systems that were first registered in 2015 or 2016.
Results: Our analysis of collisions of all injury levels reveals that AEB-equipped cars that were first registered in 2021 had 12.3% (95% confidence interval [CI] 6.2%-18.0%) fewer accidents than non-AEB-equipped cars that were first registered in 2015 or 2016. The reduction for fatal and serious injury collisions alone was higher, at 15.6% (95% CI 2.2%-27.2%). A day/night analysis demonstrates a 7.6% (95% CI -0.9%-15.3%; ns) reduction in daytime collisions and a 19.0% (95% CI 9.9%-27.1%) reduction in nighttime collisions. Analysis of three car-pedestrian collision scenarios reveals a 12.1% (95% CI -0.3%-23.0%; ns) reduction in collisions of all injury levels between forward-moving cars and street-crossing pedestrians, an 9.7% (95% CI -2.2%-20.2%; ns) reduction in collisions between right-turning cars and street-crossing pedestrians, and a 21.8% (95% CI 4.8%-35.9%) reduction in collisions between forward-moving cars and pedestrians walking in the same or opposite direction.
Conclusions: The results demonstrate that AEB systems are effective in reducing car-pedestrian collisions; however, performance remains low compared with the effectiveness of AEB in reducing rear-end collisions. This indicates that considerable room remains for technological improvement.
目的:本研究量化了日本自动紧急制动(AEB)系统在防止汽车-行人碰撞方面的性能。方法:该研究使用了日本国家警察厅编制的日本交通事故数据,将分析限制在碰撞上,我们可以确定主要当事人的汽车是否配备了AEB系统。使用2022年和2023年的数据进行泊松混合效应回归分析,量化了2021年首次注册并配备AEB系统的汽车与2015年或2016年首次注册没有AEB系统的汽车的避碰性能。结果:我们对所有伤害级别的碰撞进行了分析,结果显示,与2015年或2016年首次登记的未配备aeb的汽车相比,2021年首次登记的配备aeb的汽车的事故发生率减少了12.3%(95%置信区间[CI] 6.2%-18.0%)。仅致命和严重伤害碰撞的减少率更高,为15.6% (95% CI 2.2%-27.2%)。日/夜分析显示7.6% (95% CI -0.9%-15.3%;减少了19.0% (95% CI 9.9%-27.1%)的夜间碰撞。对三种汽车-行人碰撞场景的分析显示,12.1% (95% CI -0.3%-23.0%;(ns)减少了前方行驶的汽车与过马路的行人之间所有伤害水平的碰撞,减少了9.7% (95% CI -2.2%-20.2%;(ns)减少右转的汽车与过马路的行人之间的碰撞,并减少21.8% (95% CI 4.8%-35.9%)向前行驶的汽车与行走在相同或相反方向的行人之间的碰撞。结论:AEB系统能有效减少车辆与行人的碰撞;然而,与AEB在减少追尾碰撞方面的有效性相比,性能仍然较低。这表明技术改进仍有相当大的余地。
期刊介绍:
The purpose of Traffic Injury Prevention is to bridge the disciplines of medicine, engineering, public health and traffic safety in order to foster the science of traffic injury prevention. The archival journal focuses on research, interventions and evaluations within the areas of traffic safety, crash causation, injury prevention and treatment.
General topics within the journal''s scope are driver behavior, road infrastructure, emerging crash avoidance technologies, crash and injury epidemiology, alcohol and drugs, impact injury biomechanics, vehicle crashworthiness, occupant restraints, pedestrian safety, evaluation of interventions, economic consequences and emergency and clinical care with specific application to traffic injury prevention. The journal includes full length papers, review articles, case studies, brief technical notes and commentaries.