A practical framework model based on multi-source data for estimating traffic fuel consumption and emissions on road networks is developed. In the proposed framework model, fuel consumption and emissions of an individual vehicle is first calculated by using the Vehicle Specific Power (VSP) distribution. Next, data of fleet composition are obtained by integrating the video-based license plate recognition data with vehicle registration database. Further, the link-based fuel consumption and emissions are calculated. To estimate fuel consumption and emissions on the whole road networks, a method of sampling expansion for traffic flow and fleet composition data on road networks is proposed. Finally, the framework model is applied to quantify the traffic fuel consumption and emissions on an urban road network in Beijing. The characteristics and regularities of temporal-spatial distribution of fuel consumption and emissions are analyzed. It shows the practicability of the proposed model for supporting the development of energy saving and emission reduction strategies.
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