| 摘 要: 针对多年来出租汽车行业存在的数据冗余、结构混乱等问题，本文立足行业现状，以城市出租汽车行业监管服务现实需求为导向，依托城市政务云及电子政务网络，利用大数据、物联网、云计算、多媒体和人工智能等技术，建立出租汽车行业信息库，实现对出租汽车行业信息的整合和管理，为未来基于行业信息资源进行的大数据应用分析提供支撑。运行表明，大数据对出租汽车行业信息资源规划研究具有一定的指导意义，对提高城市出租汽车的运营效率，缓解城市交通拥挤具有重要意义。 |
| 关键词: 大数据；出租汽车；信息资源规划；数据中心 |
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中图分类号: TP399
文献标识码: A
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| 基金项目: 河南省交通运输行业信息资源目录管理及标准检测平台关键技术研究(20190335A). |
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| Research on Taxi Information Resource Planning based on Big Data |
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ZHANG Zhen, KONG Shuaihua, PENG Kun
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(College of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China )
zhangzhen66@126.com; 1985357098@qq.com; 895250656@qq.com
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| Abstract: This paper proposes to establish a taxi industry database in order to solve problems of data redundancy and structural confusion in taxi industry over the years. This database is expected to realize the information integration and management of taxi industry, and provide support for future big data application analysis based on industry information resources. Taking advantages of city government cloud and E-government network, the proposed database is designed to meet the needs of urban taxi industry supervision. It uses a variety of technologies, such as big data, Internet of Things, Cloud computing, multimedia, artificial intelligence and so on. Operation shows that big data plays a significant role in planning information resources, improving operating efficiency of urban taxis and alleviating traffic congestion. |
| Keywords: big data; taxi; information resource planning; data center |
