Prediction Model for Pollutants with Onboard Diagnostic Sensors in Vehicles

@inproceedings{Maldonado2018PredictionMF,
  title={Prediction Model for Pollutants with Onboard Diagnostic Sensors in Vehicles},
  author={Bryce Maldonado and Malik Bennabi and Vicente Garc{\'i}a-D{\'i}az and Cristian Gonz{\'a}lez and Garc{\'i}a and Edward Rolando N{\'u}{\~n}ez-Vald{\'e}z},
  year={2018}
}

• Bryce Maldonado, Malik Bennabi, +3 authors Edward Rolando Núñez-Valdéz
• Published 2018

n this work, a prediction model is developed to illustrate the relationship between the internal parameters of a vehicle and its emissions. Vehicles emit various hazardous pollutants and understanding the influence of in-vehicle parameters is key to reducing their environmental impact. The values of the internal parameters were collected through the On-Board Diagnostics port, while the values of the emissions were measured from the exhaust pipe using Arduino sensors. The observed values were… CONTINUE READING

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