Author:
Xie Junwei,Ge Liang,Li Haifeng,Lin Yiping
Publisher
Springer Nature Singapore
Reference23 articles.
1. Lv, Y., Duan, Y., Kang, W., Li, Z., Wang, F.Y.: Traffic flow prediction with big data: a deep learning approach. IEEE Trans. Intell. Transp. Syst. 16(2), 865–873 (2014)
2. Ryu, U., Wang, J., Kim, T., Kwak, S., Juhyok, U.: Construction of traffic state vector using mutual information for short-term traffic flow prediction. Transp. Res. Part C: Emerg. Technol. 96, 55–71 (2018)
3. Pavlyuk, D.: Feature selection and extraction in spatiotemporal traffic forecasting: a systematic literature review. Eur. Transp. Res. Rev. 11(1), 6 (2019)
4. Huang, X., Ye, Y., Wang, C., Yang, X., Xiong, L.: A multi-mode traffic flow prediction method with clustering based attention convolution LSTM. Appl. Intell., 1–14 (2021)
5. Duan, H., Xiao, X., Xiao, Q.: An inertia grey discrete model and its application in short-term traffic flow prediction and state determination. Neural Comput. Appl. 32, 8617–8633 (2020)