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Predictive Rerouting of Connected and Automated Vehicles Using Traffic and Charging Demand Forecasts
In this paper, we consider the problem of predictive rerouting of connected and automated vehicles (CAVs) in mixed traffic with electric vehicle charging demand. We provide a framework that combines a diffusion convolutional recurrent neural network (DCRNN) with a routing policy that accounts for co
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