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Phys.org — Technology · October 21, 2026 · On the brief until November 4, 2026

New planning method could make driverless electric taxi fleets more efficient and reliable

Civil EngineeringUrban PlanningOperations
THE AI ANGLE
Predicting trip demand and charger availability

Researchers developed a planning method to coordinate large fleets of autonomous electric taxis. The model divides routing and charging decisions into smaller parts while incorporating uncertainty into travel forecasts. Fleet managers and civil planners gain a practical system to schedule vehicle movements without causing urban traffic delays.

Summary written by AI Business Lens with an AI model from the article at techxplore.com. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
Students can evaluate the operational trade-off between dispatching empty vehicles to meet morning demand and adding congestion to city roads.

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