ZHOU Ye, HUANG Rong-huan, TANG En-bin. Dynamic Carbon Emission Measurement in Urban Traffic Based on the GPS+GIS+GSM Technology[J]. JOURNAL OF NANCHANG HANGKONG UNIVERSITY(SOCLAL SCIENCES), 2016, 18(3): 35-41. DOI: 10.3969/j.issn.1009-1912.2016.03.006
Citation: ZHOU Ye, HUANG Rong-huan, TANG En-bin. Dynamic Carbon Emission Measurement in Urban Traffic Based on the GPS+GIS+GSM Technology[J]. JOURNAL OF NANCHANG HANGKONG UNIVERSITY(SOCLAL SCIENCES), 2016, 18(3): 35-41. DOI: 10.3969/j.issn.1009-1912.2016.03.006

Dynamic Carbon Emission Measurement in Urban Traffic Based on the GPS+GIS+GSM Technology

  • Measurement of carbon emission is to evaluate the greenhouse gas produced by human activities, which is an important basis for environment impact. At present, Measurement of carbon emission is mainly used in direct energy consumption method which lacks dynamic and timeliness, and unable to estimate dynamically and accurately the urban transport carbon emissions. Therefore, it presents a dynamic computing framework and calculation method of the urban road transport carbon emissions based on the method of Golbal Position System(GPS)+Geographic Information System(GIS)+Global System for Mobile Communication(GSM) technology to access to the urban vehicle dynamic transportation information as well as combined with the vehicle's energy and carbon emission factor data to calculate carbon emissions given by the dynamic model calculating the area's carbon emissions of urban roads within a certain period of time. This method can not only calculate the area's throughout state of traffic emissions case in a period of time, and it can reflect the dynamic changes in order to facilitate Chinese environmental relevant protection departments and departments of urban road traffic transport the carbon emissions by scientific and statistical calculations. Finally, it will provide reference to carry out the further city road traffic emissions control strategy.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return