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Guest Editorial to the Special Issue Public Transport Optimization: From Theory to Practice

Author

Listed:
  • Valentina Cacchiani

    (University of Bologna)

  • Matthias Müller-Hannemann

    (Martin Luther University Halle-Wittenberg)

  • Federico Perea Rojas-Marcos

    (University of Seville)

Abstract

No abstract is available for this item.

Suggested Citation

  • Valentina Cacchiani & Matthias Müller-Hannemann & Federico Perea Rojas-Marcos, 2024. "Guest Editorial to the Special Issue Public Transport Optimization: From Theory to Practice," SN Operations Research Forum, Springer, vol. 5(3), pages 1-4, September.
    • Handle: RePEc:spr:snopef:v:5:y:2024:i:3:d:10.1007_s43069-024-00353-5
    DOI: 10.1007/s43069-024-00353-5
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    References listed on IDEAS

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    1. Lucas Mertens & Bastian Amberg & Natalia Kliewer, 2024. "Integrated Bus Timetabling and Scheduling with a Mutation-Based Evolutionary Scheme Maximizing Headway Quality and Connections," SN Operations Research Forum, Springer, vol. 5(1), pages 1-59, March.
    2. Berenike Masing & Niels Lindner & Patricia Ebert, 2023. "Forward and Line-Based Cycle Bases for Periodic Timetabling," SN Operations Research Forum, Springer, vol. 4(3), pages 1-33, September.
    3. Stefano Rieppi & Clark Cheng, 2024. "Operations Research at Norfolk Southern Railway Company," SN Operations Research Forum, Springer, vol. 5(3), pages 1-4, September.
    4. Bisheng He & Yongjun Zhu & Andrea D’Ariano & Keyu Wen & Lufeng Chen, 2023. "Dynamic Relational Graph Convolutional Network for Metro Passenger Flow Forecasting," SN Operations Research Forum, Springer, vol. 4(4), pages 1-27, December.
    5. Oddvar Kloster & Bjørnar Luteberget & Carlo Mannino & Giorgio Sartor, 2023. "An Optimization-Based Decision Support Tool for Incremental Train Timetabling," SN Operations Research Forum, Springer, vol. 4(3), pages 1-20, September.
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