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.
On-demand high -capacity ride -sharing via dynamic trip -vehicle assignment,
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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.