Highway risk simulation avoidance system and method based on multi-mode internet-of-things perception

The invention discloses a road risk simulation avoidance system and method based on multi-mode Internet of Things perception, and belongs to the technical field of intelligent traffic, and the method comprises the following steps: collecting the road condition information and road section characteristic parameters of a current road section in real time; screening out a plurality of monitoring vehicles; extracting historical driving behavior data and road condition characteristics of the plurality of monitored vehicles; constructing a historical driving behavior model, and constructing a scene model; extracting historical traffic road condition information, and extracting static feature data through the scene model; constructing a spatial feature matrix, and constructing a spatial-temporal feature matrix; performing feature weighted fusion on the spatial feature matrix and the spatial-temporal feature matrix to obtain a multi-model fusion evaluation result, and calculating a vehicle collision probability; and