References
Smit R, Ntziachristos L, Boulter P. Validation of road vehicle and traffic emission models — a review and metaanalysis. Atmos Environ, 2010, 1: 2943–2953
Chang X, Chen B Y, Li Q, et al. Estimating real-time traffic carbon dioxide emissions based on intelligent transportation system technologies. IEEE Trans Intell Transp Syst, 2013, 1: 469–479
Zito P, Chen H B, Bell M C. Predicting real-time roadside CO and NO2 concentrations using neural networks. IEEE Trans Intell Transp Syst, 2008, 1: 514–522
Vardoulakis S, Fisher B E A, Pericleous K, et al. Modelling air quality in street canyons: a review. Atmos Environ, 2003, 1: 155–182
Martin R V. Satellite remote sensing of surface air quality. Atmos Environ, 2008, 1: 7823–7843
van Donkelaar A, Martin R V, Park R J. Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing. J Geophys Res, 2006, 111: 21201
Xie Z W, Zeng Z, Zhou G Y, et al. Topic enhanced deep structured semantic models for knowledge base question answering. Sci China Inf Sci, 2017, 60: 110103
Ntziachristos L, Samaras Z. COPERT II: Computer Programme to Calculate Emissions from Road Transport: User Manual. 1997
Kingma D P, Ba J. Adam: a method for stochastic optimization. 2014. ArXiv:1412.6980
Acknowledgements
This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61725304, 61673361).
Author information
Authors and Affiliations
Corresponding author
Supplementary File
Rights and permissions
About this article
Cite this article
Xu, Z., Kang, Y., Cao, Y. et al. Deep amended COPERT model for regional vehicle emission prediction. Sci. China Inf. Sci. 64, 139202 (2021). https://doi.org/10.1007/s11432-018-9650-9
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11432-018-9650-9