An iterative exact algorithm solves a mixed-integer line planning model faster than CPLEX by dynamically expanding paths and frequencies, and accounting for lost demand improves overall resource efficiency.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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math.OC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
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An Exact Algorithm for Public Transport Line Planning Considering Passenger and Operational Costs and Lost Demand
An iterative exact algorithm solves a mixed-integer line planning model faster than CPLEX by dynamically expanding paths and frequencies, and accounting for lost demand improves overall resource efficiency.
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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.