Research in Big Data and analytics offers tremendous opportunities to utilize evidence in making decisions in many application domains. To what extent can the paradigms of Big Data and analytics be used in the domain of transport? This article reports on an outcome of a systematic review of published articles in the last five years that discuss Big Data concepts and applications in the transportation domain. The goal is to explore and understand the current research, opportunities, and challenges relating to the utilization of Big Data and analytics in transportation. The review shows the potential of Big Data and analytics to garner insights and improve transportation systems through the analysis of various forms of data obtained from traffic monitoring systems, connected vehicles, crowdsourcing, and social media. We discuss some platforms and software architecture for the transport domain, along with a wide array of storage, processing, and analytical techniques, and describe challenges associated with the implementation of Big Data and analytics. This review contributes broadly to the various ways in which cities can utilize Big Data in transportation to guide the creation of sustainable and safer traffic systems. Since research in Big Data and transportation is, by and large, at infancy, this article does not prescribe recommendations to the various challenges identified, which also constitutes the limitation of the article.

大数据和分析研究为利用证据在许多应用程序领域做出决策提供了巨大的机会。大数据和分析范式可在何种程度上用于运输领域？本文报告了过去五年中对已发表文章的系统评价的结果，这些文章讨论了大数据概念及其在运输领域中的应用。目的是探索和了解与运输中利用大数据和分析有关的当前研究，机遇和挑战。该评论显示了大数据和分析通过分析从交通监控系统，联网车辆，众包和社交媒体获得的各种形式的数据来收集洞见并改善运输系统的潜力。我们讨论了传输领域的一些平台和软件体系结构，以及各种存储，处理和分析技术，并描述了与大数据和分析的实施相关的挑战。这篇评论为城市利用交通中的大数据以各种方式指导建立可持续和更安全的交通系统做出了广泛的贡献。由于对大数据和运输的研究基本上还处于起步阶段，因此本文并未针对所发现的各种挑战提供建议，这也构成了本文的局限性。这篇评论为城市利用交通中的大数据以各种方式指导建立可持续和更安全的交通系统做出了广泛的贡献。由于对大数据和运输的研究基本上还处于起步阶段，因此本文并未针对所发现的各种挑战提供建议，这也构成了本文的局限性。这篇评论为城市利用交通中的大数据以各种方式指导建立可持续和更安全的交通系统做出了广泛的贡献。由于对大数据和运输的研究基本上还处于起步阶段，因此本文并未针对所发现的各种挑战提供建议，这也构成了本文的局限性。