GRU-CNN Neural Network Method for Regional Traffic Congestion Prediction Serving Traffic Diversion Demand

Table 2

CNN model structure based on multiparameter traffic data images.

Layers	Layer name	Channel	Filter size	Output
0	Input layer	3
1	Convolutional layer	16; 16; —	—
2	Maximum pooling layer	32; —	—
3	Incentive (ReLU)	64; 64; —	—
4	Convolutional layer	—	—
5	Incentive (ReLU)	—	—
6	Convolutional layer	—	—
7	Maximum pooling layer	—	—