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.
Decomposition and partitioning methods for multistage stochastic linear programs.Operations research, 33(5):989–1007
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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.