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Smartphones vs. in-vehicle data acquisition systems as tools for naturalistic driving studies: A comparative review

机译:智能手机与车载数据采集系统作为自然驾驶研究的工具:比较审查

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Naturalistic driving studies (NDS) are increasingly being used to investigate driver on-road behavior. In parallel, smartphones are gaining interest as data acquisition systems (DAS) in NDS instead of costly in-vehicle DAS. However, smartphone and in-vehicle DAS differ across several attributes and no current document outlines the implications of using smartphones as DAS in NDS. In this document, we present a comparative review of the advantages and disadvantages of using smartphone and in-vehicle DAS in NDS and discuss their implications. In addition, we present a brief account on prospective technological developments that might have further implications for using smartphones for studying and advancing road safety. Researchers and practitioners can use this review as a general guide to decide which DAS (smartphone or in-vehicle) to use in their NDS. For example, smartphones would be a cost-effective alternative for studying driving style (e.g., braking and speeding), but an inferior alternative to in-vehicle DAS for reconstructing crashes or near crashes and for studying short-term relationships between events (e.g., smartphone usage and hard braking). Researchers and practitioners can also use this review as an aid for the design of NDS with smartphones. For example, we show that it would be advisable to use beacons to know if participants were driving their vehicle or riding the bus, and that data completeness and accuracy would depend on battery charge and using a cradle. Prospective technologies might mitigate the shortcomings that we have outlined and might even dim the distinction between the different types of DAS.
机译:自然主义驾驶研究(NDS)越来越多地用于调查驾驶道路行为。并行地,智能手机在NDS中作为数据采集系统(DAS)而不是昂贵的车载DAS。但是,智能手机和车载DAS在若干属性上有所不同,并且没有当前文档概述了在ND中使用智能手机作为DAS的含义。在本文件中,我们对NDS中使用智能手机和车载DAS的优缺点并讨论了它们的影响。此外,我们提出了一项关于预期技术发展的简要介绍,可能对使用智能手机进行研究和推进道路安全的预期技术发展。研究人员和从业者可以将本次审查作为一般指南,以决定在其NDS中使用哪种DAS(智能手机或车辆)。例如,智能手机是学习驾驶风格的经济有效替代方案(例如,制动和超速),而是用于重建崩溃或靠近崩溃的车载DA的较差替代方案,并且用于研究事件之间的短期关系(例如,智能手机使用和硬制动)。研究人员和从业者也可以使用本综述作为与智能手机的NDS设计的援助。例如,我们表明,建议使用信标知道参与者是否驾驶其车辆或乘坐公共汽车,并且数据完整性和准确性将取决于电池充电并使用摇篮。前瞻性技术可能会降低我们概述的缺点,甚至可能暗中不同类型的DAS之间的区别。

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