This paper describes an undergoing research project, which aims to develop models to predict vehicle emissions for light duty vehicles under various traffic conditions using second-by-second data. Various state-of-the-art emission models will also be presented. Regression and statistical techniques will be mainly deployed for the development of emission models relating the different inputs and outputs. The initial data set for model development were collected from 60 vehicles of the second National In-Service Emissions study (NISE 2). The feasibility of the approach will also be demonstrated by interfacing the emission model to a microscopic traffic simulator, which is capable of modelling individual driver-vehicle-units. The traffic simulator will generate the input data needed by the emissions model on a second-by-second data. This will enable the estimation of vehicle emissions on a link-by-link basis or across the entire road network. This approach will allow for a better understanding of the environmental impacts resulting from transport schemes aimed at reducing traffic congestion and enhancing environmental quality. (Author/publisher) For the covering entry of this conference, please see ITRD abstract no. E214133.
Abstract