A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep learning model that significantly enhances both the accuracy and interpretability of roadside air pollutant forecasting.