A distributed WND-LSTM model on MapReduce for short-term traffic flow prediction
Building data-driven intelligent transportation is a significant task for establishing data-
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …
A distributed WND-LSTM model on MapReduce for short-term traffic flow prediction
X Dawen, Z Maoting, X Yan, Y Bai… - Neural Computing …, 2021 - search.proquest.com
Building data-driven intelligent transportation is a significant task for establishing data-
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …
A distributed WND-LSTM model on MapReduce for short-term traffic flow prediction.
D Xia, M Zhang, X Yan, Y Bai… - Neural Computing & …, 2021 - search.ebscohost.com
Building data-driven intelligent transportation is a significant task for establishing data-
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …
A distributed WND-LSTM model on MapReduce for short-term traffic flow prediction
D Xia, M Zhang, X Yan, Y Bai, Y Zheng, Y Li… - Neural Computing and …, 2021 - dl.acm.org
Building data-driven intelligent transportation is a significant task for establishing data-
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …