Mengjiao Wu , Xuesong Wang , Jiawen Chen , Xiang Ji , Yiran Sun
{"title":"Analysis and comparison of auditory-cognitive and visual-manual distraction risk characteristics and their effect on driving","authors":"Mengjiao Wu , Xuesong Wang , Jiawen Chen , Xiang Ji , Yiran Sun","doi":"10.1016/j.trf.2024.11.002","DOIUrl":null,"url":null,"abstract":"<div><div>Distracted driving is one of the most important causes of traffic crashes, leading 162 countries to establish regulations to control distracted driving, mainly by prohibiting or limiting the use of mobile phones. At present, there is no standard for regulating cellphones or other distractions. Understanding the specific risk characteristics of common distracted driving behaviors is crucial for regulatory development. However, research has been limited in comparing the risk characteristics of common distractions. Hence, this study aims to analyze and compare the risk characteristics of several auditory-cognitive and visual-manual distractions, as well as factors specific to individual drivers. Two crash surrogate indicators, lateral position and acceleration, were categorized into three risk levels. The partial proportional odds model was used to analyze lane keeping events, and the mixed-effects logit model was used for speed control events. Model results showed that, compared with the no-distraction baseline, visual-manual distraction tasks undermined both driver lane control and speed control, while auditory-cognitive distraction had little effect on lane keeping; auditory-cognitive distractions showed less risk of max deceleration than visual-manual distractions, but showed more risk of max acceleration. Additionally, it was found that older and female drivers have a higher risk of max acceleration when distracted, and older drivers have a higher risk of lane departure when distracted. These results provide data support for the development of distracted driving regulations.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 1042-1061"},"PeriodicalIF":3.5000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369847824003048","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Distracted driving is one of the most important causes of traffic crashes, leading 162 countries to establish regulations to control distracted driving, mainly by prohibiting or limiting the use of mobile phones. At present, there is no standard for regulating cellphones or other distractions. Understanding the specific risk characteristics of common distracted driving behaviors is crucial for regulatory development. However, research has been limited in comparing the risk characteristics of common distractions. Hence, this study aims to analyze and compare the risk characteristics of several auditory-cognitive and visual-manual distractions, as well as factors specific to individual drivers. Two crash surrogate indicators, lateral position and acceleration, were categorized into three risk levels. The partial proportional odds model was used to analyze lane keeping events, and the mixed-effects logit model was used for speed control events. Model results showed that, compared with the no-distraction baseline, visual-manual distraction tasks undermined both driver lane control and speed control, while auditory-cognitive distraction had little effect on lane keeping; auditory-cognitive distractions showed less risk of max deceleration than visual-manual distractions, but showed more risk of max acceleration. Additionally, it was found that older and female drivers have a higher risk of max acceleration when distracted, and older drivers have a higher risk of lane departure when distracted. These results provide data support for the development of distracted driving regulations.
期刊介绍:
Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.