Robust and Online Large-Scale Optimization Models and Techniques for Transportation Systems /
Scheduled transportation networks give rise to very complex and large-scale networkoptimization problems requiring innovative solution techniques and ideas from mathematical optimization and theoretical computer science. Examples of scheduled transportation include bus, ferry, airline, and railway n...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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Edición: | 1st ed. 2009. |
Colección: | Theoretical Computer Science and General Issues,
5868 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Robustness and Recoverability: New Concepts
- The Concept of Recoverable Robustness, Linear Programming Recovery, and Railway Applications
- Recoverable Robustness in Shunting and Timetabling
- Light Robustness
- Incentive-Compatible Robust Line Planning
- A Bicriteria Approach for Robust Timetabling
- Robust Timetabling and Route Planning
- Meta-heuristic and Constraint-Based Approaches for Single-Line Railway Timetabling
- Engineering Time-Expanded Graphs for Faster Timetable Information
- Time-Dependent Route Planning
- The Exact Subgraph Recoverable Robust Shortest Path Problem
- Efficient Timetable Information in the Presence of Delays
- Robust Planning under Scarce Resources
- Integrating Robust Railway Network Design and Line Planning under Failures
- Effective Allocation of Fleet Frequencies by Reducing Intermediate Stops and Short Turning in Transit Systems
- Shunting for Dummies: An Introductory Algorithmic Survey
- Integrated Gate and Bus Assignment at Amsterdam Airport Schiphol
- Online Planning: Delay and Disruption Management
- Mining Railway Delay Dependencies in Large-Scale Real-World Delay Data
- Rescheduling Dense Train Traffic over Complex Station Interlocking Areas
- Online Train Disposition: To Wait or Not to Wait?
- Disruption Management in Passenger Railway Transportation.