Multi-factor early warning method for sand and dust weather municipal road congestion situation

The invention discloses a multi-factor early warning method for a sand and dust weather municipal road congestion situation, and belongs to the technical field of intelligent internet-of-things equipment design and construction. Aiming to consider the influence of irregular urban wind direction distribution, irregular sand and dust particle concentration distribution and irregular vehicle driving sight and sand and dust movement direction distribution, the technical means of statistical magnitude construction through physical quantity monitoring value pre-processing, classification sample set generation and supervised learning are adopted, and the method comprises the main steps of meteorological-road condition monitoring and early warning system platform construction, meteorological-road condition data association pre-processing, classification sample set generation, prediction model sequence step by step training, congestion situation prediction and information issuing. The measurement method of each physic