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Smart city article details
| Title | Ambulance Vehicle Routing In Smart Cities Using Artificial Neural Network |
|---|---|
| ID_Doc | 7312 |
| Authors | Hussein T.D.H.; Frikha M.; Ahmed S.; Rahebi J. |
| Year | 2022 |
| Published | International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2022 |
| DOI | http://dx.doi.org/10.1109/ATSIP55956.2022.9805857 |
| Abstract | This work proposes a routing ambulance vehicles method that uses the neural network. For the input of the neural network, eight features are selected. These features depend on the time, the position of the accident, ambulance and hospital, number of streets and injured person, type of accident, and age of the patient. With these features, the Ambulance can be decided to select the minimum route to find the nearest hospital. In this paper, we evaluate crucial metrics in responding to the accident, such as establishing temporary emergency units, the number of available ambulance units, and the city's response and resources. © 2022 IEEE. |
| Author Keywords | Ambulance vehicle Routing; Artificial Neural Network; Shortest path |
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