• Mahi Agrawal

The pollutants a vehicle emits, during the combustion process are known as vehicle emissions. Carbon monoxide (CO) is emitted due to incomplete combustion when there is not enough oxygen to burn fuel. This gas has no smell, color or flavor, so it is difficult to recognize. It causes fatal air poisoning and is primarily responsible for seizures, coma and deaths in humans. In this paper we will predict the amount of Carbon monoxide (CO) emitted from the vehicle using Machine Learning algorithms. Machine learning is the field, in which computers can learn without being explicitly programmed. In this project a training dataset is given as a input to the machine and learning algorithm produces an inferred function to make predictions about the output values ie the amount of CO for each hill of drive cycle of given vehicle.

Algorithm; Emission; Hydrocarbons; Machine learning; Reinforcement

"Prediction Of Vehicle Emission (Carbon Monooxide) Using Machine Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.104-107, June 2019, Available :http://www.jetir.org/papers/JETIR1906K01.pdf

"Prediction Of Vehicle Emission (Carbon Monooxide) Using Machine Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp104-107, June 2019, Available at : http://www.jetir.org/papers/JETIR1906K01.pdf