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7 December 2023 Urban transportation carbon emissions refined estimation based on data aggregation and fusion dual model
Yi Xuan, Jian Jiang, Zhiqing Sun, Yifang Chen, Qifeng Wang, Jianpeng Zhao, Jiarui Li
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Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294123 (2023) https://doi.org/10.1117/12.3011616
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China
Abstract
Carbon emissions from transportation are an important part of urban carbon emissions. Vehicles, as the most active part of urban traffic, are important for refined estimation. Refined estimation can help provide an opportunity for more specific emission reduction strategies, but existing methods are unable to achieve this due to the lack of use of multi-source data. In this regard, this paper proposes a refined estimation method based on multi-source data fusion around the vehicles. First, consider the latent impact of electric vehicles on carbon emissions during their operation. Then, an improved Data Aggregation Model is proposed to represent the core part of carbon emissions. Subsequently, a carbon emission estimation model based on BP neural network is established, which uses the multi-source data of vehicle-network-road-facilities to obtain the final output. Finally, an innovative refined estimation method is proposed to enhance the results generated by the carbon emission estimation model. With results testing with real data, the accuracy of the estimation model and the refined estimation method is verified by confidence interval method.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yi Xuan, Jian Jiang, Zhiqing Sun, Yifang Chen, Qifeng Wang, Jianpeng Zhao, and Jiarui Li "Urban transportation carbon emissions refined estimation based on data aggregation and fusion dual model", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294123 (7 December 2023); https://doi.org/10.1117/12.3011616
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KEYWORDS
Data modeling
Carbon
Data fusion
Transportation
Roads
Education and training
Error analysis
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