There are many articles published in driving/driver behavior (DDB) but few of them have focused on DDB with big data in the literature. The reasons for this might be the lack of media coverage, data, expertise or big data perspectives. This paper presents a big data perspective for investigating the DDB based on models, data features, and experiences. For this purpose, DDB studies were reviewed and grouped into six perspectives. 6V's of big data (volume, velocity, variety, veracity, vulnerability and value) were also revised and discussed how these V's were compatible with DDB data. Finally, the use of big data in DDB analysis was discussed and some suggestions were presented. The lack of big data perception on DDB research was also overviewed and a new perspective was presented for researchers, applicants or business managers to do more effective and suitable studies in the field of big data DDB.

中文翻译：

---

驾驶员/驾驶行为的大数据视角

在驾驶/驾驶员行为 (DDB) 方面发表了许多文章，但很少有文献关注具有大数据的 DDB。造成这种情况的原因可能是缺乏媒体报道、数据、专业知识或大数据视角。本文提出了基于模型、数据特征和经验来研究 DDB 的大数据视角。为此，对 DDB 研究进行了审查，并将其分为六个方面。还修订了大数据的 6V（数量、速度、多样性、真实性、脆弱性和价值），并讨论了这些 V 如何与 DDB 数据兼容。最后，讨论了大数据在DDB分析中的应用，并提出了一些建议。还概述了DDB研究缺乏大数据感知，为研究人员提供了一个新的视角，