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An investigation on the link between driver demographic characteristics and distracted driving by using the SHRP 2 naturalistic driving data

引用

Journal of Intelligent and Connected Vehicles 2020年第1期3卷 1-16页

作者： Haotian Cao Zhenghao Zhang Xiaolin Song Hong Wang Mingjun Li Song Zhao Jianqiang Wang College of Mechanical and Vehicle Engineering Hunan UniversityChangshaChina Department of Mechanical and Mechatronics Engineering University of WaterlooWaterlooCanada Aptiv TroyMichiganUSA Tsinghua University BeijingChina

Purpose–The purpose of this paper is to investigate the inﬂuence of driver demographic characteristics on the driving safety involving cell phone ***/methodology/approach–A total of 1,432 crashes and 19,714 baselines were collected for the Strategic Highway Research Program 2 naturalistic driving *** authors used a case-control approach to estimate the prevalence and the population attributable risk *** mixed logistic regression model is used to evaluate the correlation between different driver demographic characteristics(age,driving experience or their combination)and the crash risk regarding cell phone engagements,as well as the correlation among the likelihood of the cell phone engagement during the driving,multiple driver demographic characteristics(gender,age and driving experience)and environment ***–Senior drivers face an extremely high crash risk when distracted by cell phone during driving,but they are not involved in crashes at a large *** the contrary,cell phone usages account for a far larger percentage of total crashes for young ***,experienced drivers and experienced-middle-aged drivers seem less likely to be impacted by the cell phone while driving,and cell phone engagements are attributed to a lower percentage of total crashes for ***,experienced,senior or male drivers are less likely to engage in cell phone-related secondary tasks while ***/value–The results provide support to guide countermeasures and vehicle design.

关键词： Prevalence Distracted driving related to cell phones driver demographic characteristics Naturalistic driving study Population attributable risk percentage

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