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• W4293088959 startingPage "036119812211141" @default.
• W4293088959 abstract "The COVID-19 pandemic has had serious adverse impacts on public transport service providers. Most public transport lines exhibit reduced ridership levels while, at the same time, some of them may exhibit passenger demand levels beyond the pandemic-imposed capacity limitations. This study models the problem of bus dispatching time optimization within a periodic rolling horizon optimization framework that reacts to travel time and passenger demand variations. This model allows public transport service providers to adjust their bus schedules periodically to avoid in-vehicle crowding beyond the pandemic-imposed capacity limit. The proposed model is a mixed-integer linear program that considers the possible changes to vehicle schedules and tries to minimize the number of vehicles required to perform the service while adhering to the COVID-19 capacity restrictions. Case study results from the implementation of our model on bus Line 2 in the Twente region in the Netherlands are provided demonstrating the potential gains when rescheduling the trip dispatching times and vehicle schedules." @default.
• W4293088959 created "2022-08-26" @default.
• W4293088959 creator A5061675536 @default.
• W4293088959 creator A5090082938 @default.
• W4293088959 date "2022-08-25" @default.
• W4293088959 modified "2023-10-18" @default.
• W4293088959 title "Periodic Optimization of Bus Dispatching Times and Vehicle Schedules Considering the COVID-19 Capacity Limits: A Dutch Case Study" @default.
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• W4293088959 doi "https://doi.org/10.1177/03611981221114119" @default.
• W4293088959 hasPublicationYear "2022" @default.
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