A Causal Deep Learning Framework for Traffic Forecasting
Author:
Affiliation:
1. National Technical University of Athens,Athens,Greece,15773
2. TECNALIA, Basque Research & Technology Alliance (BRTA),Derio,Spain,48160
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420842/10420843/10421990.pdf?arnumber=10421990
Reference28 articles.
1. Short-term traffic forecasting: Where we are and where we’re going
2. LSTM network: a deep learning approach for short‐term traffic forecast
3. Smartphone sensing for understanding driving behavior: Current practice and challenges
4. Road Traffic Forecasting: Recent Advances and New Challenges
5. From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability
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