Prediction of vehicle emissions based on totally asymmetric simple exclusion process model

In this paper, vehicle emissions are predicted by a combination of a totally asymmetric simple exclusion process (TASEP) model and an emission model based on Vito's on-the-road emission and energy measurement (VOEM) systems. By analysing four primary pollutants (namely, carbon dioxide (CO2), oxides of nitrogen (NOx), particulate matter (PM) and volatile organic compounds (VOCs)), the trend in the variation of emissions at different entrance rates (alpha) and leaving rates (beta) is evaluated. The emissions of carbon dioxide, oxides of nitrogen and PM reduce strikingly with the increase of alpha and beta that can be due to the changes in traffic situation. The effects of vehicle type on the emissions are discussed. For diesel cars, carbon dioxide and VOC show the highest emission levels, and oxides of nitrogen and PM show the lowest emission levels, while for liquefied petroleum gas cars, contradicting results are obtained. This can be beneficial for making policies regarding traffic and vehicle emissions control.