Big Data for Social Transportation
Big Data for Social Transportation
复制标题
社会交通大数据
DOI：
10.1109/tits.2015.2480157
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发表时间：
2016
影响因子：
8.5
通讯作者：
Liuqing Yang
中科院分区：
文献类型：
--
作者：
Xinhu Zheng;Wei Chen;Pu Wang;Dayong Shen;Songhang Chen;Xiao Wang;Qingpeng Zhang;Liuqing Yang
社会交通的大数据为我们解决传统方法无法解决的交通问题和建设下一代智能交通系统带来了前所未有的机遇。尽管社会数据已被应用于交通分析，但仍存在许多挑战。首先，社交数据是与时俱进的，包含着丰富的信息，对数据收集和清理提出了迫切的需求。同时，对于社会交通来说，每种类型的数据都有特定的优势和局限性，仅有一种数据类型不足以描述交通系统的整体状态。需要系统的数据融合方法或框架，用于组合具有不同特征、结构、分辨率和精度的社会信号数据。其次，数据处理和挖掘技术，如自然语言处理和流数据分析，需要在有效利用实时交通信息方面进行进一步革命。第三，社交数据与网络和物理空间相连。为了解决社会交通中的实际问题，需要一套在社会交通系统中实现大数据的方案，如众包、可视化分析和基于任务的服务。本文综述了社会交通的数据来源、分析方法和应用系统，并对这一新的社会交通领域的未来研究方向进行了展望。
Big data for social transportation brings us unprecedented opportunities for resolving transportation problems for which traditional approaches are not competent and for building the next-generation intelligent transportation systems. Although social data have been applied for transportation analysis, there are still many challenges. First, social data evolve with time and contain abundant information, posing a crucial need for data collection and cleaning. Meanwhile, each type of data has specific advantages and limitations for social transportation, and one data type alone is not capable of describing the overall state of a transportation system. Systematic data fusing approaches or frameworks for combining social signal data with different features, structures, resolutions, and precision are needed. Second, data processing and mining techniques, such as natural language processing and analysis of streaming data, require further revolutions in effective utilization of real-time traffic information. Third, social data are connected to cyber and physical spaces. To address practical problems in social transportation, a suite of schemes are demanded for realizing big data in social transportation systems, such as crowdsourcing, visual analysis, and task-based services. In this paper, we overview data sources, analytical approaches, and application systems for social transportation, and we also suggest a few future research directions for this new social transportation field.