| 摘要: |
| 目的 为利用汽车大数据产生创新应用方案提供路径。方法 分析汽车大数据的类型及创新应用方向，并从数据的收集、使用和挖掘出发，在数据感知、数据关联、模式挖掘、数据开放和数据平台使用等方面展开创新路径的探索。结论 提出了不同的大数据创新应用路径，以支持创新方案的产生。 |
| 关键词: 车联网 大数据 数据创新路径 创新应用 |
| DOI： |
| 分类号:TB472 |
| 基金项目:上海市设计学IV类高峰学科资助项目（DA17003） |
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| Approaches of Big Data Innovative Application Based on the Internet of Vehicles |
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ZHANG Qian-wen, LI Jing-lu, SUN Xiao-hua
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Tongji University, Shanghai 200082, China
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| Abstract: |
| It aims to provide approaches to generate innovative solutions based on big data and internet of vehicles. Different kinds of connected-carrelated big data and application directions are analyzed. Starting from data collection, usage and mining, a series of innovation approaches of data sensing, data association, pattern mining, data opening and data platform utilization are explored. Different big data innovation application paths are proposed in order to support the creation of innovative solutions |
| Key words: internet of vehicles big data approaches of data innovation innovative application |
