A road condition prediction method and device
A forecasting method and forecasting device technology, applied in forecasting, biological neural network models, data processing applications, etc., can solve problems such as difficult to realize road condition prediction, unable to effectively extract, etc., and achieve the effect of realizing road condition prediction and accurate road condition prediction
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[0067] see Figure 7 , which is a frame diagram of an embodiment of the road condition prediction device provided by the present invention.
[0068] The road condition prediction device provided in this embodiment includes:
[0069] The road condition conversion module 701 is used to convert the road condition information into a topological structure diagram and input it into the prediction model, wherein the nodes of the topological structure diagram represent road sections, and the edges represent turns;
[0070] The input module 702 is used to use the topological structure graph as the first input of the prediction model, and the prediction model includes sequentially arranged: a convolution module 703, a pooling module 704 and a full connection module 705;
[0071] Wherein, the N-1th downsampling result output by the pooling module will be used as the Nth input of the convolution module until N reaches the set value, and N is a positive integer greater than or equal to 2;...
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