Lessons learned from naturalistic driving data processing in a secure data enclave: Preliminary discoveries from analyzing dash camera videos

IF 3.5 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2024-08-14 DOI:10.1016/j.trf.2024.08.012

Kaiser Mahmood , Jiajun Pang , Sheikh Shahriar Ahmed , Gongda Yu , Md Tawfiq Sarwar , Irina Benedyk , Panagiotis Ch. Anastasopoulos

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引用次数: 0

Abstract

This paper provides preliminary insights on the challenges of processing Strategic Highway Research Program 2 (SHRP2) Naturalistic Driving Study (NDS) videos and data, particularly those with Personally Identifiable Information (PII). Insights and lessons learned are presented from a study designed to evaluate the effectiveness of High Visibility Crosswalks (HVCs). Over a one-month period, 15,379 videos were processed in the secure data enclave of Virginia Tech Transportation Institute (VTTI). As these videos are not available outside of the secure data enclave due to PII restrictions, researchers visiting the secure data enclave for the first time may face several challenges: navigating the software interface; identifying the video views and frames of interest; and identifying and extracting information of interest from the video views, etc. These challenges, the procedures followed to address them, and the process for identifying and classifying distracted driving behaviors are discussed. Lastly, hypothesis tests are conducted to investigate distracted driving behavior, with the results revealing that HVCs have the potential to make drivers more cautious in their proximity. The information presented in this paper is expected to aid researchers who intend to utilize SHRP2 NDS or similar videos for future research, to preemptively plan for the video processing phase.

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从安全数据飞地的自然驾驶数据处理中汲取的经验教训：分析仪表盘摄像头视频的初步发现

本文就处理战略性公路研究计划 2 (SHRP2) 自然驾驶研究 (NDS) 视频和数据，尤其是包含个人身份信息 (PII) 的视频和数据所面临的挑战提出了初步见解。本报告介绍了一项旨在评估高能见度人行横道 (HVC) 有效性的研究中获得的启示和经验。在为期一个月的时间里，弗吉尼亚理工大学交通研究所（VTTI）的安全数据飞地共处理了 15,379 个视频。由于受到 PII 限制，这些视频无法在安全数据飞地以外的地方获取，因此首次访问安全数据飞地的研究人员可能会面临以下几个挑战：浏览软件界面；识别感兴趣的视频视图和帧数；识别并从视频视图中提取感兴趣的信息等。本文讨论了这些挑战、应对这些挑战的程序以及分心驾驶行为的识别和分类过程。最后，还进行了假设检验，以调查分心驾驶行为，结果表明，高频视像有可能使驾驶员在靠近时更加谨慎。本文提供的信息有望帮助打算利用 SHRP2 NDS 或类似视频进行未来研究的研究人员预先计划视频处理阶段。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transportation Research Part F-Traffic Psychology and Behaviour Multiple-

CiteScore

7.60

自引率

14.60%

发文量

239

审稿时长

71 days

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.