Abstract
The following work proposes a working model using artificial intelligence techniques to benefit employees working in public transport, specifically in the area of electric transport to batteries, with the help of data collection that this area generates daily, it is proposed to make a capture of these data and to start in a first instance, integrating predictive skills with the help of Machine Learning, for the prediction of autonomy for each bus in operation, to know the operating status of the batteries and to generate more efficient maintenance plans.
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