T/GDITS 001-2024 Urban road traffic engineering construction management spatial-temporal big data format standard

Scope

Main technical content: The division and design of time-space big data types in urban road traffic engineering construction management refer to the industry standards of geographic information systems and transportation and municipalities. The results of interviews with relevant planning and construction departments have also been taken into account. At present, the standard covers the existing standards in the field, each with different emphases in content. Firstly, in terms of geographic information, the national standard GB/T 35638-2017 "Terminology of Geographic Information Location Services" subdivides and classifies geographic information services from different perspectives, and clarifies the service objects and service providers, technical standards and protocols, data types and content, and possible specific application scenarios; the national standard GB/T 42528-2023 "Technical Specifications for Time-Space Big Data" mainly covers the aspects of acquisition, storage, processing, analysis, standards and formats, applications and services, privacy protection and security management, and technical evaluation and quality monitoring of time-space big data, aiming to standardize the application and practice of time-space big data technology and promote the development and application of time-space big data in this field. Secondly, in terms of transportation time-space data, the group standard T/CITSA 10-2021 "Format Standard for Urban Traffic Time-Space Big Data" clarifies the definition and connotation of traffic big data based on the understanding of traffic time-space big data, and standardizes the acquisition, processing and management techniques of traffic time-space big data. It stipulates the basic concepts, content classification and coding, data model and organizational structure, metadata regulations and quality requirements of urban traffic time-space big data, providing a reference for the acquisition, processing, database construction, analysis and

Development Information

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