To plan a more efficient and scientific snow sweeper path, this paper uses the topology of network vulnerability analysis combined with the general factors of a road network vulnerability evaluation system to examine the different characteristics between the general conditions and snow and ice conditions. We use the information entropy and TOPSIS method to build a vulnerability model of network vulnerability evaluation of snow and ice conditions, then, based on the vulnerability evaluation system, analyze the influencing factors of snow removal vehicle path planning, combined with the operation characteristics of snow removal vehicles. Through case analysis, we demonstrate the effectiveness of the algorithm and a targeted path optimization strategy for snow removal to promote optimal safety and road traffic conditions during ice and snow seasons.
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