In recent years, the carbon emissions in the transport sector have been maintained at annual growth rate over 5%, making it one of the major sources of Greenhouse Gas (GHG) emissions in China. In the background of low-carbon transformation, the "carbon peaking and carbon neutrality" target has put forward higher requirements for energy saving and carbon reduction in the transport sector. Heavy-duty trucks are a major energy consumer in the transport sector and are a key area for carbon neutrality. With the theory of human-machine-environment system engineering, this research figures out the factors affecting the energy consumption of vehicles. Based on the dynamic data of Heavy-duty trucks Global Positioning System (GPS), the research uses big data processing and statistical analysis to estimate the CO2 emissions of heavy-duty trucks over 12 tons in China and puts forward relevant policy suggestions for the development of energy-saving and carbon-reduction in the road freight industry. This paper provides theoretical support and reference for the green transformation of China's transportation industry.
The research on the carbon footprint of road freight market based on dynamic data of heavy-duty trucks
Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022) ; 2022 ; Guangzhou,China
Proc. SPIE ; 12591
2023-02-16
Conference paper
Electronic Resource
English
British Library Conference Proceedings | 2023
|The Road Freight Industry Green Research Based on Big Data of Heavy-Duty Trucks Operation
Springer Verlag | 2024
|Conductive Electric Road System for Heavy-Duty Trucks
British Library Conference Proceedings | 2022
|