{"title":"Identifying novice drivers in need of hazard perception ability improvement for takeover performance in Level 3 automated driving","authors":"Shixuan Weng , Chen Chai , Weiru Yin , Yanbo Wang","doi":"10.1016/j.aap.2024.107803","DOIUrl":null,"url":null,"abstract":"<div><div>Takeover performance is a crucial constraint on deploying Level 3 automated driving. Not all drivers can adopt appropriate strategies to take over vehicle control during safety–critical situations. The hazard perception abilities of novice drivers may cause individual differences in urgent takeover performance. This research examines the urgent takeover performances of novice drivers with different hazard perception abilities for takeover safety improvement. Forty novice drivers took over in urgent cut-in situations at a driving simulator. The hazard perception tests evaluated their hazard perception abilities. This study formulated moderating effect models based on experimental data. Results indicated that hazard perception ability indirectly affected the significance of the correlation between takeover reaction and steering behaviors. Drivers with improved hazard perception abilities are less likely to turn sharply on the steering wheel. In this study, 39.8% of the participants need to improve their hazard perception abilities. Their z-scores were longer than 0.002 in hazard perception tests. Findings can identify the individuals who need hazard perception training to enhance their takeover performance effectively.</div></div>","PeriodicalId":6926,"journal":{"name":"Accident; analysis and prevention","volume":"208 ","pages":"Article 107803"},"PeriodicalIF":5.7000,"publicationDate":"2024-10-14","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/S0001457524003488","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
Takeover performance is a crucial constraint on deploying Level 3 automated driving. Not all drivers can adopt appropriate strategies to take over vehicle control during safety–critical situations. The hazard perception abilities of novice drivers may cause individual differences in urgent takeover performance. This research examines the urgent takeover performances of novice drivers with different hazard perception abilities for takeover safety improvement. Forty novice drivers took over in urgent cut-in situations at a driving simulator. The hazard perception tests evaluated their hazard perception abilities. This study formulated moderating effect models based on experimental data. Results indicated that hazard perception ability indirectly affected the significance of the correlation between takeover reaction and steering behaviors. Drivers with improved hazard perception abilities are less likely to turn sharply on the steering wheel. In this study, 39.8% of the participants need to improve their hazard perception abilities. Their z-scores were longer than 0.002 in hazard perception tests. Findings can identify the individuals who need hazard perception training to enhance their takeover performance effectively.
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.