Decentralized dynamic priority scoring for task assignment in autonomous vehicle marshaling yards raises throughput and cuts facility failures versus static rules in simulations across small-to-large yards and low-to-high demand.
Multi -task dispatch of shared autonomous electric vehicles for Mobility -on-Demand services – combination of deep reinforcement learning and combinatorial optimization method
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Framework for Collaborative Operation of Autonomous Delivery Vehicles Within a Marshaling Yard
Decentralized dynamic priority scoring for task assignment in autonomous vehicle marshaling yards raises throughput and cuts facility failures versus static rules in simulations across small-to-large yards and low-to-high demand.