{"title":"Association between automatic emergency braking and pedestrian and cyclist injury severity in Japan","authors":"Haruhiko Inada , Masao Ichikawa","doi":"10.1016/j.aap.2025.108091","DOIUrl":null,"url":null,"abstract":"<div><div>This cross-sectional study assessed whether automatic emergency braking (AEB) in colliding passenger cars is associated with reduced injury severity among pedestrians and cyclists in road traffic crashes. We used national police-reported data in Japan from 2016 to 2019 on vehicle versus pedestrian and vehicle versus cyclist injury crashes, focusing on six best-selling car models with optional AEB systems. We analyzed the association between AEB presence and injury severity, dichotomized as fatal/serious versus minor/no injury, using multivariable logistic regression, adjusting for potential confounders. Among 4131 pedestrians and 6659 cyclists involved in crashes, AEB was associated with a 20 % decrease in the odds of fatal or serious injuries among pedestrians (adjusted odds ratio: 0.80, 95 % confidence interval [CI]: 0.64–0.996). No significant association was observed for cyclists (adjusted odds ratio: 0.91, 95 % CI: 0.74–1.14). In conclusion, AEB systems may mitigate injury severity even when collisions cannot be avoided, at least for pedestrians in real-world conditions. Future studies should evaluate the effectiveness of newer AEB systems that detect cyclists and explore variations in effectiveness according to driver characteristics.</div></div>","PeriodicalId":6926,"journal":{"name":"Accident; analysis and prevention","volume":"218 ","pages":"Article 108091"},"PeriodicalIF":5.7000,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accident; analysis and prevention","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0001457525001770","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ERGONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This cross-sectional study assessed whether automatic emergency braking (AEB) in colliding passenger cars is associated with reduced injury severity among pedestrians and cyclists in road traffic crashes. We used national police-reported data in Japan from 2016 to 2019 on vehicle versus pedestrian and vehicle versus cyclist injury crashes, focusing on six best-selling car models with optional AEB systems. We analyzed the association between AEB presence and injury severity, dichotomized as fatal/serious versus minor/no injury, using multivariable logistic regression, adjusting for potential confounders. Among 4131 pedestrians and 6659 cyclists involved in crashes, AEB was associated with a 20 % decrease in the odds of fatal or serious injuries among pedestrians (adjusted odds ratio: 0.80, 95 % confidence interval [CI]: 0.64–0.996). No significant association was observed for cyclists (adjusted odds ratio: 0.91, 95 % CI: 0.74–1.14). In conclusion, AEB systems may mitigate injury severity even when collisions cannot be avoided, at least for pedestrians in real-world conditions. Future studies should evaluate the effectiveness of newer AEB systems that detect cyclists and explore variations in effectiveness according to driver characteristics.
期刊介绍:
Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.