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TripEnergy is a data processing methodology that turns incomplete information on vehicle travel into a predictive estimate of the energy requirements of travel. It is designed to work with personal vehicle trips, producing energy estimates given information such as trip distance and/or duration from a survey. It can also work with low-resolution vehicle trajectories reconstructed from historical traffic data or generated in a transport network simulation. The model is capable of estimating energy requirements for a large variety of internal combustion and battery electric vehicles, and can be extended to apply to a wide variety of vehicle types including bus, heavy rail, and ridesharing.