In a calibrated Ann Arbor evening-traffic simulation, a fuel-aware ride-sharing assignment objective reduces fuel consumption per customer by up to 7% compared with personal vehicles while serving over 90% of riders within time limits.
Annual Energy Outlook 2017 with projections to 2050,
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Eco-Mobility-on-Demand Fleet Control with Ride-Sharing
In a calibrated Ann Arbor evening-traffic simulation, a fuel-aware ride-sharing assignment objective reduces fuel consumption per customer by up to 7% compared with personal vehicles while serving over 90% of riders within time limits.