A velocity and payload dependent emission model for heavy-duty road freight transportation

The paper develops a forecasting model of emissions from traffic flows embracing the dynamics of driving behavior due to variations in payload. To measure of emissions at the level of individual vehicles under varying payloads a portable emission measurement system is used. This paper reports on a model based on data at the level of individual vehicles for a representative road trajectory. The model aggregates the data to the level of a homogeneous flow dependent of velocity and specific power, which is dependent on payload weight. We find a lean specification for the model that provides emission factors for CO2, NOx, HC, CO, and NO2. The results indicate that, in comparison with earlier models, NOx emissions in particular tend to be underestimated.

► Forecasts of emissions allowing for dynamics of driving behavior due to variations in truck payloads are made.
► Data using a portable emission measurement system is used to measure truck emissions.
► Modeling provides emission factors for CO2, NOx, HC, CO, and NO2.
► In comparison with earlier models, NOx emissions in particular were underestimated.