Comprehensive transportation big data special pilot project for building a strong transportation country.
Comprehensive Transportation Big Data Application Technology Transportation Industry Key Laboratory
(referred to as the Laboratory) is built on The Science Research Institute of the Ministry of Transportation (referred to as the Institute of Transportation Science), and was officially recognized by the Ministry of Transportation in 2017, becoming one of the first key laboratories in the field of comprehensive transportation big data. Focusing on the work tasks of the "Comprehensive Transport Big Data Application Center" commissioned by the Ministry of Transport, the laboratory focuses on the three research fields of "data resource management application system and related standards and specifications", "big data dynamic collection, model construction and processing technology", and "comprehensive transportation monitoring, analysis evaluation and early warning technology based on big data", break through key core technologies, and accelerate the deep integration and application of big data technology in the field of comprehensive transportation, helping to empower transportation development with data.
has accumulated data resources of 9 major categories and more than 20 subcategories
laboratory has built a complete set of software and hardware conditions required for full-process data management, forming a number of big data research and development and experimental platforms such as the dynamic collection experimental platform for traffic big data, traffic data governance and comprehensive analysis experimental platform, traffic data safety experimental platform, traffic carbon emission statistics monitoring experimental platform, traffic GIS and remote sensing imaging experimental platform, etc., to support the research and development of key core technologies for the application of comprehensive transportation big data.
does not have high-quality data resources, and big data applications will become "passive water". The laboratory has been engaged in information resource research and development for a long time and has accumulated a number of comprehensive and professional data resources in the industry. In terms of comprehensive data resources, relying on the statistical analysis work undertaken, the most comprehensive and rich macro data resources in the industry and the longest time span have been accumulated. In terms of professional data resources, the laboratory has accumulated more than 20 sub-categories of data resources including infrastructure, highway traffic, water traffic, online freight, urban passenger transport, dual carbon monitoring, transportation credit, transportation technology, government information through the information technology. The rich data resources have laid a solid foundation for the laboratory to explore the application scenarios of comprehensive transportation big data.
For major transportation needs
supports the research and development of key core technologies
Laboratory adheres to the orientation of practical application needs, and focuses on typical application scenarios such as government data sharing, highway transportation monitoring, water transportation monitoring, transportation economic operation analysis, transportation carbon emission statistical monitoring, transportation epidemic precision prevention and control, and carry out key technologies in the fields of massive data storage, data cleaning, data analysis and discovery, data visualization, data security and privacy protection , and builds a series of comprehensive transportation big data analysis models, forming a batch of easy-to-understand, conclusion-worthy, practical and authoritative big data analysis results, effectively supporting the decision-making management and services of the transportation management department.
water transportation big data management and analysis platform. Since
was recognized as a key laboratory in the industry, the laboratory has undertaken a total of 56 international, national, and provincial and ministerial scientific research projects and 121 horizontal research projects; has won 16 provincial and ministerial scientific and technological progress awards and 4 other awards; applied for 14 national invention patents; obtained computer software copyright html; and published 45 academic papers in public, of which 12 were included in the three major searches (SCI, EI and ISTP), and published 18 works.
conducts policy standards research
promotes the construction and standardization of data resources construction and governance
Laboratory also undertakes the work task of the "Comprehensive Transport Big Data Application Center" entrusted by the Ministry of Transport, and conducts research on comprehensive transportation big data policy standards.
In terms of policy research, Laboratory assisted the Ministry of Transport to draft and compile more than 10 policy and technical documents, including the "Regulations on the Sharing of Transport Government Data", "Action Outline for Promoting the Development of Comprehensive Transport Big Data (2020-2025), and "Overall Technical Plan for the National Comprehensive Transport Information Platform", and gradually formed a multi-level comprehensive transportation big data management system from "upper system" to "implementation measures" to "technical requirements".
In terms of standard specification research, takes the lead or participates in the compilation of 3 national standards for data governance and data security, 11 industry standards for data sharing and data security, and supports the release of 6 technical specifications of the national comprehensive transportation information platform, as well as a number of industry technical documents such as catalog compilation guidelines, data classification and grading guidelines, exchange sharing and open application platform construction guidelines, making important contributions to promoting the standardization and standardization of industry data resources and governance.
insists on open sharing
builds a big data innovation ecosystem
laboratory actively joins government departments, universities, enterprises and other forces to jointly build a comprehensive transportation big data innovation ecosystem. As the core force, the laboratory supports the Institute of Communications Technology and 414 units to carry out a pilot project for the construction of a strong transportation country for comprehensive transportation big data, and seeks breakthrough progress in building first-class facilities, first-class technology, first-class management, first-class services, etc. around the support of comprehensive transportation big data, providing experience reference for the construction of a strong transportation country. By continuously hosting the International Forum on Comprehensive Transport Big Data Application and jointly hosting the "Cloud Guizhou" Smart Transport Big Data Application Innovation Competition, we will build an exchange platform for domestic and foreign big data experts to jointly find new ideas and new methods to use big data to solve key and difficult problems in the transportation industry at this stage. In terms of technical cooperation, the laboratory has established 3 batches and 15 open projects, and jointly carried out forward-looking and basic research in the field of comprehensive transportation big data with universities and research institutes.
In addition, the laboratory has jointly released more than 30 big data analysis reports in hot fields such as urban transportation operation, holiday travel forecast, smart logistics , and shared bicycles; independently compiled nearly 100 big data analysis reports such as "China Expressway Operation Analysis Report", which vividly demonstrated the new direction of transportation development, new characteristics of people's travel, and new trends in the development of sharing economy from multiple dimensions.
senior professional title accounts for more than 75%
Laboratory relies on academic resource platforms such as the National Comprehensive Transportation Standardization Technical Committee and the Data Management Application Promotion Branch of the China Electronics Industry Standardization Technology Association, and carried out the construction of talent echelon . As of the end of August 2022, there were 50 fixed researchers in the laboratory, of which one third of them were doctoral students, and the proportion of senior professional titles exceeded 75%.
Laboratory has increased its efforts to cultivate talents through internal training and foreign further training. Since its recognition as a key industry laboratory in 2017, a total of 4 scientific researchers have been promoted to senior professional titles, 2 personnel have been promoted to deputy senior professional titles, and 4 scientific researchers have been promoted to intermediate professional titles. In addition, one scientific researcher won the title of "2018 Young and Middle-aged Science and Technology Innovation Leading Talent in the Transportation Industry", and two scientific researchers won the title of "2018 Young and Middle-aged Science and Technology Talent in the Transportation Industry". The laboratory's "Comprehensive Transportation Big Data Application Technology Innovation Team" was rated as the innovation team in key areas of the transportation industry by the Ministry of Transport in 2020. The laboratory team has also been successfully selected as the top data team of the China Branch of the International Data Management Association. The
laboratory has continuously strengthened personnel exchanges and training. Since October 2017, it has received more than 30 graduate internships from the University of Illinois, Southwest Jiaotong University, , Chinese Academy of Sciences and other units, enhancing the scientific research vitality of the laboratory.
Laboratory will continue to promote big data technology innovation, lay out the research and development of big data products, create an open and shared ecosystem of big data, stimulate the value potential of data elements, and strive to build a highly influential comprehensive transportation big data application technology collaborative innovation base.
Author丨Shang Zandi Cao Jiandong Yang Yanfang
Editing丨Xue Caiyun Liao Qian
Review丨Lin Fen Liang Wei
Producer丨Sun Yingli
Submission Email: [email protected]
Business: 010-65293624
