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《China Environmental Science》 2019-12
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Research on vehicle emission trajectory based on vehicle identification data

LIN Ying;DING Hui;LIU Yong-hong;LIN Xiao-fang;SHA Zhi-ren;MIAO Shen-hua;HUANG Wen-feng;School of Intelligent Systems Engineering, Sun Yat-sen University;Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control;Guangdong Provincial Key Laboratory of Intelligent Transport System;Guangdong Fundway Science and Technology Corporation Limited;  
To track the dynamic emission trajectory of an individual vehicle,a method for calculating the emission trajectory was established based on the second by second vehicle passing records from Electronic Police system.Taking the urban center of Xuancheng,Anhui Province as the study area,which has 123 road links,44,672,343 emission trajectories of 133,906 vehicles from May 10 to June 9 in 2018 were calculated using the operational parameters from the reconstructed trajectories,the technical parameters from the motor vehicle database,as well as the emission factors from International Vehicle Emission Model.The results show that,taxi contributed more to CO emissions and the emission intensity was high on the road links near points of interest.Bus and heavy-duty truck were the main sources of NO_x emissions.The total amount of NO_x emissions from bus on workday was nearly1.3 kg,which was about 7.5 times higher than that of the heavy-duty truck.For bus,the bus route was fixed and the temporal-spatial distribution of emissions showed a certain periodicity according to the bus frequency.The trajectory of light-duty truck was mainly determined by freight demand,which often travels during the day.On the other hand,the heavy-duty truck was more inclined to travel in the early morning.The commuting private car made regular travel during workdays,hence the pollutant emissions were relatively stable in the round-trip process.For the whole road network,the high emission intensity areas of CO and VOCs were concentrated in the central road network,while for NO_x and PM,they were mainly distributed in the peripheral road network.
【Fund】: 国家重点研发计划项目(2018YFB1601100);国家重点研发计划项目(2017YFC0212100);; 广东省科技计划项目(2017B010111007)
【CateGory Index】: X734.2
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