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Forecasting Spatially-Distributed Urban Traffic Volumes via Multi-Target LSTM-Based Neural Network Regressor

Monitoring the distribution of vehicles across the city is of great importance for urban traffic control. In particular, information on the number of vehicles entering and leaving a city, or moving between urban areas, gives a valuable estimate on potential bottlenecks and congestions. The possibili...

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Hlavní autoři: Alessandro Crivellari, Euro Beinat
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2020-12-01
Edice:Mathematics
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On-line přístup:https://www.mdpi.com/2227-7390/8/12/2233
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