Replacing 10 regional air routes with airside buses under a $10M budget reduces simulated passenger delays by 8% on disrupted days and 6% on nominal days.
Z., Hekmatfar, M., Arabani, A
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A Bayesian framework learns uncertainties from data to generate robust multi-topology express network designs that reduce tail delivery risks at modest extra cost in simulations.
citing papers explorer
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Augmenting airline networks using airside-to-airside buses to strengthen system resilience under disruptions
Replacing 10 regional air routes with airside buses under a $10M budget reduces simulated passenger delays by 8% on disrupted days and 6% on nominal days.
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Bayesian Multi-Topology Express Transportation Network Design under Posterior Predictive Demand, Sorting-Efficiency and Delivery-Time Uncertainty
A Bayesian framework learns uncertainties from data to generate robust multi-topology express network designs that reduce tail delivery risks at modest extra cost in simulations.