A study on flow decomposition methods for scheduling of electric buses in public transport based on aggregated time-space network models

DOI10.1007/s10100-020-00705-6OpenAlexW3082378466MaRDI QIDQ2155124

Lena Wolbeck, Nils Olsen, Natalia Kliewer

Publication date: 15 July 2022

Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10100-020-00705-6

zbMATH Keywords

time-space networkelectric vehiclespublic transportflow decompositionvehicle scheduling

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Related Items (1)

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Cites Work

• Computer-aided transit scheduling. Proceedings of the 6th international workshop on computer-aided scheduling of public transport, Lisbon, Portugal, July 6-9, 1993
• Heuristic approaches for solving transit vehicle scheduling problem with route and fueling time constraints
• A time-space network based exact optimization model for multi-depot bus scheduling
• Solving large multiple-depot multiple-vehicle-type bus scheduling problems in practice
• The Vehicle Scheduling Problem with Multiple Vehicle Types
• On some matching problems arising in vehicle scheduling models
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