crossrefSymmetry2025-08-02Cited by 5
Data-Driven Symmetry and Asymmetry Investigation of Vehicle Emissions Using Machine Learning: A Case Study in Spain
Fei Wu, Jinfu Zhu, Hufang Yang, Xiang He, Qiao Peng
Understanding vehicle emissions is essential for developing effective carbon reduction strategies in the transport sector. Conventional emission models often assume homogeneity and linearity, overlooking real-world asymmetries that arise from variations in vehicle design and powe…