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}
}
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

References

Publications referenced by this paper.
Showing 1-10 of 15 references

The pollutant emissions from diesel-engine vehicles and exhaust aftertreatment systems

Reşitoğlu, İbrahim Aslan KAK
Clean Technol Environ Policy • 2015

Development and performance of a new vehicle emissions and fuel consumption software (PΔP) with a high resolution in time and space

R. Smit
Atmos Pollut Res • 2013

Eco-driving: An overlooked climate change initiative

JN Barkenbus
Energy Policy • 2009
View 1 Excerpt

Energy and emissions impacts of a freeway-based dynamic eco-driving system

M Barth, K. Boriboonsomsin
Transp Res Part D Transp Environ • 2009

Using on-board logging devices to study the longer-term impact of an ecodriving course

B Beusen, S Broekx, T Denys
Transp Res part D Transp Environ • 2009
View 2 Excerpts

Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption

Y Saboohi, H. Farzaneh
Appl Energy • 2008
View 1 Excerpt