Long Short-Term Memory Networks for Traffic Flow Forecasting: Exploring Input Variables, Time Frames and Multi-Step Approaches

Bibliographic reference: 

Fernandes, B., Silva, F., Alaiz-Moreton, H., Novais, P., Neves, J., & Analide, C. (2020). Long Short-Term Memory Networks for Traffic Flow Forecasting: Exploring Input Variables, Time Frames and Multi-Step Approaches. Informatica, 31(4), 723-749. https://doi.org/10.15388/20-INFOR431

Bibliographic link: 
https://doi.org/10.15388/20-INFOR431