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Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles

机译：智能运输系统安全研究大数据应用综述及连接/自动化车辆

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摘要

The era of Big Data has arrived. Recently, under the environment of intelligent transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been applied in various fields in transportation including traffic safety. In this study, we review recent research studies that employed Big Data to analyze traffic safety under the environment of ITS and CAV. The particular topics include crash detection or prediction, discovery of contributing factors to crashes, driving behavior analysis, crash hotspot identification, etc. From the reviewed studies, employing advanced analytics for Big Data has a great potential for understanding and enhancing traffic safety. Big Data application in traffic safety integrates and processes massive multi-source data, breaks through the limitations of the traditional data analytics, and discovers and solves the problems, which cannot be solved by the traditional safety analytics. Lastly, suggestions are provided for future Big Data safety analytics under the environment of ITS and CAV.
机译：大数据的时代已经到来。最近，在智能交通系统（其）和连接/自动车辆（CAV）的环境下，大数据已应用于包括交通安全的交通处的各种领域。在这项研究中，我们审查了最近的研究研究，这些研究采用了大数据来分析其环境下的交通安全。特定主题包括崩溃检测或预测，发现犯规的因素，驾驶行为分析，崩溃热点识别等从审查的研究中，采用高级数据的高级分析具有巨大的理解和提高交通安全的潜力。交通安全的大数据应用集成并处理大规模的多源数据，突破传统数据分析的局限性，并发现并解决了传统安全分析无法解决的问题。最后，在其环境的环境下为未来的大数据安全分析提供了建议。

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