Big Data Research ›› 2022, Vol. 8 ›› Issue (2): 103-119.doi: 10.11959/j.issn.2096-0271.2022011

• TOPOC: AEROSPACE BIG DATA • Previous Articles     Next Articles

Applications of remote sensing big data in highway transportation

Shenggu YUAN1, Lun LUO1, Ronggang GUO2, Hengbin MAO3, Fang WANG2, Hongyue CAI2, Heping XIAO3   

  1. 1 China Transport Telecommunications &Information Center, Beijing 100011, China
    2 Guojiao Spatial Information Technology (Beijing) Co., Ltd., Beijing 100011, China
    3 Science and Technology Information Center, Department of Transportation of Hunan Province, Changsha 410004, China
  • Online:2022-03-15 Published:2022-03-01
  • Supported by:
    The National Natural Science Foundation of China(41901388)

Abstract:

The rise of remote sensing big data applications had a profound impact on the transportation industry, and has played an active role in transportation planning, construction, management and maintenance and other aspects.Firstly, the connotation and characteristics of traffic remote sensing big data were introduced, and the application status of remote sensing big data was summarized in the field of highway traffic and transportation.Secondly, combined with the relevant work carried out by transportation departments based on remote sensing big data in recent years, the typical applications of remote sensing big data in intelligent extraction and analysis of traffic highway damage, highway construction and planning analysis, and intelligent maintenance of highway were mainly introduced.Finally, the development trend and future prospects of traffic remote sensing big data were prospected.

Key words: remote sensing big data, transportation, highway damage, highway construction planning, highway maintenance

CLC Number: 

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