Prediction of the skid-resistance deterioration in asphalt pavement based on peephole–LSTM neural network

You Zhana School of Civil Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of China;b Highway Engineering Key Laboratory of Sichuan Province, Chengdu, People’s Republic of China

Yining Chenc Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, NetherlandsCorrespondence[email protected]

Xiuquan Lina School of Civil Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of China;b Highway Engineering Key Laboratory of Sichuan Province, Chengdu, People’s Republic of China

Yurong Zhanga School of Civil Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of China;b Highway Engineering Key Laboratory of Sichuan Province, Chengdu, People’s Republic of China

Allen Zhanga School of Civil Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of China;b Highway Engineering Key Laboratory of Sichuan Province, Chengdu, People’s Republic of China

Changfa Aia School of Civil Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of China;b Highway Engineering Key Laboratory of Sichuan Province, Chengdu, People’s Republic of China

Prediction of the skid-resistance deterioration in asphalt pavement based on peephole–LSTM neural network

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Prediction of the skid-resistance deterioration in asphalt pavement based on peephole–LSTM neural network

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