1. Review of technological and economic considerations on future vehicle design: autonomous, connected, electric, and shared vehicles;Andorka,2020
2. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling;Bai,2018
3. A recurrent neural network for urban long-term traffic flow forecasting;Belhadi;Appl. Intell.,2020
4. Bi, J., Zhang, X., Yuan, H., Zhang, J., Zhou, M., n.d. A Hybrid Prediction Method for Realistic Network Traffic With Temporal Convolutional Network and LSTM. IEEE Trans. Autom. Sci. Eng. https://doi.org/10.1109/TASE.2021.3077537.
5. Forecasting short-term entrance passenger flow of urban rail transit stations by the improved elman neural network;Bi,2019