TY  - CONF
AU  - Fafoutellis, Panagiotis
AU  - Vlahogianni, Eleni I.
AU  - Del Ser, Javier
PY  - 2020
DO  - 10.1109/ITSC45102.2020.9294752
SN  - 9781728141497
UR  - https://hdl.handle.net/11556/1704
AB  - Short-term traffic forecasting is anticipated as an always evolving research topic, boosted by the tremendous recent advances of Machine Learning and Deep Learning, as well as computational power of modern PCs. In this paper, the Dilated Recurrent...
LA  - eng
PB  - Institute of Electrical and Electronics Engineers Inc.
TI  - Dilated LSTM Networks for Short-Term Traffic Forecasting using Network-Wide Vehicle Trajectory Data
TY  - conference output
ER  -