Predicting Ambulance Demand: Challenges and Methods

16 Jun 2016Zhengyi Zhou

Predicting ambulance demand accurately at a fine resolution in time and space (e.g., every hour and 1 km$^2$) is critical for staff / fleet management and dynamic deployment. There are several challenges: though the dataset is typically large-scale, demand per time period and locality is almost always zero... (read more)

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