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Problem Addressed

As renewable energy becomes more integrated with the electric grid and electric vehicles become more common, there is great value for real-time information on current and future vehicular energy consumption for modeling purposes. Currently, trip energy consumption is estimated through complex, black-box simulations that are relatively slow to run and difficult to operate at scale for large datasets, especially in real time. Additionally, such simulation tools require high-resolution velocity vehicular histories that are often not available for the specific trips researchers would like to study. TripEnergy combines the analytic rigor of full simulation methods with ease of use and flexibility, and is particularly geared towards large-scale simulation of regional travel behavior and energy consumption.