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