McQueen Ambulance: optimization of routes for ambulances based on the distance between the accident and the health center
DOI:
https://doi.org/10.26439/ciis2021.5583Keywords:
graph theory, emergency care, route optimization, OSMnx, OpenStreetMap, DijkstraAbstract
Currently, pre-hospital transport, such as that provided by ambulances for emergency medical care or support for primary care, faces a significant problem in Lima: traffic, which is also affected by the time that elapses from the emergency that occurs until the health center sends an ambulance for care. In this sense, it is essential to optimize the response time of this process so that medical attention is provided as quickly as possible, attention time is crucial during an emergency. Therefore, this work proposes a methodology to optimize the route and time of dispatch of an ambulance for emergency care, considering the distance
between the health center and the place of occurrence of the emergency, specifically focusing our pilot on the district of San Borja. On the other hand, on the patient’s side, it is sought that he can request and access an ambulance as quickly as possible through a single platform. For this, an open-source program has been designed and coded in Python with the OSMnx and Networks libraries, which also uses Dijkstra's algorithm to optimize the route to follow to the emergency site. The experimental tests were able to validate that through this process, it was possible to optimize the action time for the attention of cases by facilitating the logistics necessary to send the ambulances, also considering that this saved time could offer the possibility of
saving the lives of the people involved in such events.
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