VT-Meso model framework for estimating hot-stabilized light-duty vehicle fuel consumption and emission rates

摘要

In an attempt to bridge the gap between less accurate macroscopic models and data intensive microscopic emis-sion models, the paper presents a modal model that estimates light-duty vehicle fuel consumption and emission rates on a link-by-link basis using three independent variables, namely the average speed, the number of vehicle stops per unit dis-tance, and the average stop duration. The model uses these variables to construct synthetic drive cycles for each roadway segment and then predicts average fuel consumption and emission rates for four modes: decelerating, idling, accelerating, and cruising. Within each mode of operation, fuel consumption and emission rates are determined using relationships that are derived from instantaneous microscopic energy and emission models. The model allows the user to calibrate two addi-tional input parameters, namely typical deceleration and acceleration rates. The proposed model is demonstrated to success-fully predict fuel consumption and hydrocarbon, carbon monoxide, carbon dioxide, and oxides of nitrogen emission rates.