摘要
城市交通大数据具有种类繁多、异质性、时空尺度跨越大、动态多变、高度随机性、局部性和生命周期较短等特征,如何有效地采集和利用交通大数据,满足高时效性的交通行政监管、交通企业经营管理、交通市民服务等应用需求,是城市交通和智慧城市面临的前所未有的机遇和挑战。重点分析总结了城市交通大数据的若干研究内容及核心技术,提出了城市交通大数据智能应用系统解决方案,列举了几种典型应用,在城市交通和智慧城市领域的大数据研发和应用领域进行了初步探讨。
Urban traffic big data has such characteristics as various types,heterogeneity,large temporal and spatial scales,highly dynamic and random,localization and short life cycle.How to effectively collect and utilize the traffic big data to serve the real-time traffic administrative supervision,efficient operations of transportation enterprise,traffic services and other application needs,are unprecedented opportunities and challenges of urban transportation and smart cities.Several big data core technologies for urban transportation were summarized,and an intelligent application system solution was proposed,and some typical application was listed.In short,big data research and its application cases in the field of urban transportation and smart city were initially discussed.
出处
《大数据》
2015年第4期81-96,共16页
Big Data Research
基金
国家自然科学基金资助项目(No.71232006
No.61233001
No.61174172)
广东省科学技术厅基金资助项目(No.2014B090902001
No.2014B010118001
No.2014A010103004)
东莞市引进创新领军人才项目(熊刚)
广西省科学技术厅基金资助项目(No.14125008-1-12)~~
关键词
城市交通
大数据
云计算
物联网
urban transportation
big data
cloud computing
internet of things
