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  4. Forecasting Sparse Traffic Congestion Patterns Using Message-Passing Rnns

Forecasting Sparse Traffic Congestion Patterns Using Message-Passing Rnns

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IEEE ICASSP 2020 Virtual Conference May 2020
The ability to forecast traffic congestion ahead of time given road conditions has remained a prominent problem in road traffic analysis. In this work, we leverage mobility traces of public transport vehicles tracked by the New York City MTA and formulate
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