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Evacuation Shelter Scheduling Problem
In this study, we formulate the "Evacuation Shelter Scheduling Problem," which allocates evacuees to shelters in such a way to minimize the movement costs of the evacuees and the operation costs of the shelters.
Finding Appropriate Traffic Regulations via Graph Convolutional Networks
In this paper, we propose a method to learn a function that outputs regulation effects given the current traffic situation as inputs.
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