CO2 Emission Rating by Vehicles using Supervised Algorithms

Personal vehicles play a significant role in contributing to the issue of global warming. Gasoline used in cars emits an estimated 24 pounds of carbon dioxide and other greenhouse gases per gallon, which accounts for roughly 20% of all emissions. Over five pounds of heat-trapping pollutants are produced throughout the fuel's extraction, manufacture, and delivery, while it's important to note that cars release over 19 pounds per gallon directly from their tailpipes. At present, gas-powered vehicles typically achieve a fuel efficiency of around 22.0 miles per gallon, covering an annual distance of 11,500 miles. As a consequence, the combustion of one gallon of gasoline results in approximately 8,887 grams of CO2 being released into the atmosphere. In 1998, the automobile industry pledged to reduce new car emissions by 25% by 2008. At that time, CO2 emissions from new cars were approximately 203g/km. Currently, the average emissions of vehicles stand at approximately 170g/km and it is projected that they will not decrease to 140g/km until after 2020. The amount of CO2 emitted by a standard passenger car is typically around 4.6 metric tons per year, but this can fluctuate depending on factors such as fuel type, fuel efficiency, and mileage. While predicting emissions becomes more challenging as more variables come into play, some experimental designs consider controllable variables and their interactions. To predict gas emissions, we've developed a model that utilizes a car's attributes to determine if it exceeds the CO2 threshold. If it does, the RTA will take action. One of the best techniques for predicting CO2 emissions is supervised machine learning.