Abstract
Road traffic pollution has become one of the main sources of atmospheric pollution. Load of single heavy-duty vehicle often reaches tens of tons, and its exhaust pollution is also several times than small vehicles. Taking container truck as an example, which exhaust emission during the process of queuing will seriously aggravate regional air pollution in the port or terminal. Therefore, this paper uses the MOVES model to perform a simulation study for carbon emission in the process of the container truck queuing at the Shanghai port based on the in-depth analysis of the container terminal queuing system, taking into account the vehicle emission standards in China. Furthermore, the M/G/S/∞/∞/FCFS queuing model is utilized to analyze the trend and intrinsic relationship of the three types of truck carbon emissions, such as CO2, CO, and THC under continuous speed variation. The research result can provide important decision-making support for low-carbon management.
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Yu, Y., Zhai, Jy., Ban, Xg., Weng, Jx. (2019). Simulation of Carbon Emission for Heavy-Duty Vehicle Queuing Systems. In: Wang, W., Bengler, K., Jiang, X. (eds) Green Intelligent Transportation Systems. GITSS 2017. Lecture Notes in Electrical Engineering, vol 503. Springer, Singapore. https://doi.org/10.1007/978-981-13-0302-9_76
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DOI: https://doi.org/10.1007/978-981-13-0302-9_76
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