Carbon Emission Measurement on Traffic Vehicles of Bangladesh for Monitoring Pollution using IoT

High levels of air pollution are a result from the growing number of vehicles in Bangladesh, particularly for the older and poorly maintained vehicles. Pollutants such as carbon monoxide, carbon dioxide, hydrocarbons and ammonia are released into the atmosphere from such vehicles. The majority of the models which are used in the existing researches are designed to identify gas pollution for vehicles, considering ideal cases such as normal highways. In this paper, we have focused not only on the ideal cases but also on the extreme cases, including the measurement of greenhouse gas emissions from moving cars in urban and hilly areas. Our proposed model’s characteristics include measuring greenhouse gas values to warn the corresponding authorities by using some sensors, finding hilly places where polluted gases are most likely to be found through GPS, detecting unfit vehicles by emission values and providing an alert message to the authority. Notably, a plain route has an overall fuel economy of approximately 15-20% whereas, in the hilly regions, fuel increases 20% that causes 4% greater carbon emissions. In this research, we have taken this issue into consideration and attempted to resolve it by establishing a dynamic threshold.