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Optimizing the location of ambulance bases and the districting of their covering regions on highways

In this paper we combine extensions of the hypercube queueing model with genetic algorithms to optimize the configuration and operation of emergency medical systems on highways. Initially we present a method to locate the ambulance bases along the highway so that the main system performance measures are optimized. Then we extend the approach to support combined decisions: the location of ambulance bases and the districting of the covering regions of each base on the highway. For instance, the approach can search for locals to place the ambulance bases and determine the sizes of their operation areas, such that the mean user response time and/or the ambulance workload imbalance are minimized. To illustrate the application of the proposed methods, we analyze the results of two case studies of Brazilian highways.

Location and dispatching of ambulances; genetic algorithm; hypercube model; spatially distributed queues; highways


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