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Meteorological impacts on highways play a crucial role in transportation safety, efficiency and planning. Heavy rainfall, snowstorms, fog and other extreme weather events can disrupt road conditions, visibility and vehicular movement resulting in traffic congestion, accidents and travel delays. Meteorological data, collected through weather stations, sensors and satellite observations, are essential for monitoring and predicting weather-related impacts on highways. There are so many different extreme weather events, it is hard to recognize the intricate relationship between meteorological conditions and highway accidents. However, the relationship is vital for enhancing safety, reducing travel disruptions and ensuring efficient transportation systems. The paper analyzes accident data from 2020 to 2022 alongside meteorological data to identify patterns and correlations between specific weather conditions and accident rates. The results show that approximately 40% accidents occur during extreme weather condition. The heavy rain, snowstorms, fog and ice can significantly impact on highway road conditions leading to an increased likehood of accidents. Based on the analysis, intelligent traffic system and automobiles make informed decisions ragarding vehicle operation and road safety. The proposal from the analysis has been applied to Hebei-Beijing-Harbin Expressway's pile-by-pile meteorological monitoring project.
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