Modelling Vehicle Emissions and Fuel Consumption Based on Instantaneous Speed and Acceleration Levels

Abstract

Transportation pollutants affect air quality and result in climate changes. This study aims to develop emission and fuel consumption models. The study was undertaken in Greater Cairo Region where congestion episodes such as acceleration and deceleration are the most vehicle operating modes. The available data were obtained from Egyptian Environmental Affairs Agency for different types of fuel that include; Diesel, Gasoline and Natural Gas. Second-by-second data points were collected using an on-board emission measurement system. The data include fuel consumption and emission rates for nine vehicles.The final models are used to predict values of nitrogen oxides (NOx), hydrocarbons (HC), carbon monoxide (CO), carbon dioxide (CO2) and fuel consumption (FC).The predicted fuel consumption and emissions models were found to be accurate with (R2) ranging from 0.70 to 0.95.The study alsodemonstrated that emissions and fuel consumption are more sensitive to the acceleration than to speed. Furthermore, deceleration activities reduce the emission of vehicles.

Novel Method for Determining Internal Combustion Engine Dysfunctions on Platform as a Service

“…In [ 18 ] an approach was developed, where neural networks and regression analysis is used to predict fuel consumption and emission levels at different vehicle conditions. In [ 19 ] models are used to predict values of various emission compounds including nitrogen oxidex, hydrocarbons and fuel consumption based on instantaneous speed and acceleration levels of the vehicle.…”