Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (6): 59-65.doi: 10.11896/jsjkx.191200165

• Databωe & Big Data & Data Science • Previous Articles     Next Articles

Application Mode and Challenges of Vehicular Big Data

GE Yu-ming1, HAN Qing-wen2, WANG Miao-qiong3, ZENG Ling-qiu2, LI Lu1   

  1. 1 Technology and Standards Research Institute,China Academy of Information and Communications Technology,Beijing 100191,China
    2 School of Microelectronics and Communication Engineering,Chongqing University,Chongqing,400030,China
    3 Cloud Computing and Big Data Research Institute,China Academy of Information and Communications Technology,Beijing 100191,China
  • Received:2019-11-26 Online:2020-06-15 Published:2020-06-10
  • About author:GE Yu-ming,born in 1985,Ph.D,senior engineer.His main research interests include connectivity,MEC,cybersecurity in the areas of connected and automated vehicles,and industrial internet.
    WANG Miao-qiong,born in 1991,postgraduate,Engineer.Her main research interests include big data infrastructure,DBMS and industrial applications of big data technology.
  • Supported by:
    This work was supported by the National Key R&D Program of China (2018YFB0105200)

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Abstract: With the technical evolution of connected vehicles,people-vehicle-road-cloud are all connected,and a large number of application services emerge which cover many parts such as manufacturing,connected vehicle products,vehicle service market and intelligenttravel service.The core of these applications is big data of vehicles.The effective utilization of vehicular big data may be an important breakthrough in the transformation and upgrading of automotive industry in the future.To promote the application of vehicular big data in connected vehicles,related works are reviewed in this paper.According to the application demands,this paperstarts from the connotation and architecture of vehicular big data,and analyzes the characteristic of data sources and corresponding applications,such as manufacturing,connected vehicle products and vehicle service market,etc.Then the key technologies of vehicular big data are discussed from four aspects,which are data collection,data processing and analysis,computing resource and privacy protection.Based on a comprehensive analysis fits development status of policy and technology,this paper anticipates the future application trend of vehicular big data.

Key words: Application, Architecture, Big data, Connected vehicles

CLC Number: 

  • U467.5+25
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