A stochastic-robust MPC framework with Nested Benders Decomposition for EAMoD reduces median waiting times by up to 36% and electricity costs by over 35% versus baselines in city simulations.
Recursive expected conditional value at risk in the fleet renewal problem with alternative fuel vehicles.Transportation Research Part C: Emerging Technologies, 65:156–171, 2016
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Combined Stochastic and Robust Optimization for Electric Autonomous Mobility-on-Demand with Nested Benders Decomposition
A stochastic-robust MPC framework with Nested Benders Decomposition for EAMoD reduces median waiting times by up to 36% and electricity costs by over 35% versus baselines in city simulations.