Analysis and prediction of main influencing factors in mobile source remote sensing

Zhenyi XU; Ruibin WANG; Yu KANG; Yang CAO; Cong ZHANG; Renjun WANG

doi:10.3969/j.issn.1673-6141.2022.02.004

[1] Guo Y H, Wang Z F, Kang H, et al. Impact of automobile vehicles exhaust emissions on metropolitan air quality: analysis study on the air pollution change before and after the Spring Festival in Urumqi City, China[J]. Acta Scientiae Circumstantiae, 2014, 34(5): 1109-1117.

[2] Zhang Q. Vehicle Emission Estimation Algorithms Based on Remote Sensing Data[D]. Hefei: University of Science and Technology of China, 2019.

[3] He C Y, Wang Q D. Vehicle emission factors determination using CMEM in Beijing[J]. Research of Environmental Sciences, 2006, 19(1): 109-112.

[4] Yu K, Dong H Z, Li J W, et al. Research on prediction of vehicle exhaust based on measurement by PEMS[J]. Computer Measurement & Control, 2016, 24(9): 58-60.

[5] Hao L J, Chen W, Li L, et al. Modeling and predicting low-speed vehicle emissions as a function of driving kinematics[J]. Journal of Environmental Sciences, 2017, 55: 109-117.

[6] Wang Z H, Qin K, Yin D D, et al. Prediction of heavy duty diesel vehicle emission based on GA-BP neural network with double hidden layer[J]. Journal of Hefei University of Technology (Natural Science), 2019, 42(6): 735-740.

[7] Zuo F S, Li Z Y, Lv X, et al. Prediction of gasoline engine exhaust emission based on BP neural network[J]. Journal of Jiangsu University (Natural Science Edition), 2020, 41(3): 307-313.

[8] Li C Q, Xie X P. Emission prediction of large buses based on portable emission mesurement systems and BP neural network[J]. Automobile Technology, 2021, (1): 57-62.

[9] Xu Z Y, Wang R J, Zhang C, et al. Automatic identification of high-emitting vehicle based on deep feature clustering[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(6): 298-309.

[10] Xu Z Y. Research on Comprehensive Supervision of Urban Mobile Source Emissions Based on Spatiotemporal Data Mining[D]. Hefei: University of Science and Technology of China, 2020.

[11] Zhang X C, Qiu J D, Qu X M, et al. Characteristics and influencing factors of traffic pollutant emission concentration in Shenzhen City[J]. Journal of Shenzhen University (Science and Engineering), 2020, 37(2): 178-186.

[12] Lu Y J, Ni S Y, Wang H H, et al. Estimation of vehicle emission based on traffic flow on national and provincial roads in Hebei Province[J]. Acta Scientiae Circumstantiae, 2020, 40(12): 4483-4491.

[13] Robert T. Regression shrinkage and selection via the lasso[J]. Journal of the Royal Statistical Society: Series B (Methodological), 1996, 58(1): 267-288.

[14] Shen S Y. Variable Selection of Complex Data Joint Model Based on Improved Lasso Method[D]. Wuhan: Huazhong University of Science and Technology, 2019.

[15] Zhang X L. Research on Influence Factors of Taxi Emission Factors Based on Random Forest Regression[D]. Shenyang: Liaoning University, 2020.

[16] Xu Z Y, Kang Y, Lv W J. Analysis and prediction of vehicle exhaust emission using ANN[C]. 36th Chinese Control Conference (CCC), July 26-28, 2017, Dalian, China. IEEE, 2017: 4029-4033.

[17] Wang J J, Xu Z B. Approximation method of multivariate polynomials by feedforward neural networks[J]. Chinese Journal of Computers, 2009, 32(12): 2482-2488.

[18] Wang Q, Yu Y F, Zhang H J. Function approximation using artificial nueral networks[J]. Computer Simulation, 2002, 19(5): 44-47.

[19] Li J. Apparel Inventory Control and Neural Network Forecast Algorithm Research[D]. Wuxi: Jiangnan University, 2009.

[20] Yao Y, Rosasco L, Caponnetto A. On early stopping in gradient descent learning[J]. Constructive Approximation, 2007, 26(2): 289-315.