JOURNAL OF QUJING NORMAL UNIVERSITY ›› 2018, Vol. 37 ›› Issue (1): 84-87.

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Enlightenment of the Application of Big Data of Traffic Energy Monitoring Statistics in America

Shen Lingyun   

  1. School of Teacher Education, Qujing Normal University, Qujing Yunan 655011 China
  • Received:2017-12-20 Online:2018-01-26

Abstract: Developing green traffic is an important part of the construction of traffic power in China, and also the only way for China to deal with climate change and solve environmental crisis under the sustainable development framework. China could take examples from America as to the application of Big Data in the monitoring statistics of traffic energy emission. This paper analyzes three aspects of the enlightenment: energy consumption emissions statistics, transportation statistics system and transportation field energy emission statistics from perspectives of statistical organization system, statistical Index system, and statistical laws and regulations system. The sources of traffic data include two dimensions: macroscopic and microscopic. Data is mainly applied to energy emission statistics through the comprehensive mobile source emission model. In addition, it analyzes the referential experience of America from laws, regulations, policies, education and other related measures which could achieve energy efficiency, low pollution and sustainable development. And those things have certain experience to China in the aspects of organization level, data collection, model application, legal policy and so on.

Key words: transportation, Traffic Power, green traffic, Big Data, energy emission statistic monitoring

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