综合交通大数据应用技术的发展展望
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摘要
在移动互联的大数据时代,大数据、人工智能、云计算、物联网、智能终端等先进技术的不断发展,为综合交通的一体化、智能化、智慧化发展提供了坚实的资源和技术支撑。针对现阶段综合交通规划设计、运营管控、安全环保维护、物流服务过程中出现的数据异构质量差、"信息孤岛"、挖掘程度低等症结,对综合交通大数据基础技术与应用技术发展过程中需突破的关键技术点进行分析与展望,为大数据在综合交通中全面、有效、系统地应用提供一定的借鉴与参考。
The continuous development of advanced technologies such as big data, artificial intelligence, cloud computing, Internet of things and intelligent terminals provide useful big data resources and technical support for the integrated, intelligent and wise development of integrated transportation. Aiming at the cruxes of integrated traffic planning and design, operation management and control, safety and environmental protection maintenance, and logistics service, such as poor quality of heterogeneous data,isolated information island, low degree of mining, etc., the key technical points needed to be broken through in the development of basic technology and application technology of big data for integrated transportation were prospected, and some references for a better and more systematic application of big data in integrated transportation were provided.
The continuous development of advanced technologies such as big data, artificial intelligence, cloud computing, Internet of things and intelligent terminals provide useful big data resources and technical support for the integrated, intelligent and wise development of integrated transportation. Aiming at the cruxes of integrated traffic planning and design, operation management and control, safety and environmental protection maintenance, and logistics service, such as poor quality of heterogeneous data,isolated information island, low degree of mining, etc., the key technical points needed to be broken through in the development of basic technology and application technology of big data for integrated transportation were prospected, and some references for a better and more systematic application of big data in integrated transportation were provided.
引文
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