Dynamic and realtime rescheduling models: an empirical analysis from railway transportation

By: Narayanaswami, SundaravalliMaterial type: BookBookPublication details: Saarbrucken LAP Lambert Academic Publishing 2010Description: xvi, 179 p.: ill. Includes indexISBN: 9783838358673Subject(s): Railroads - Data processing | Demiryolları - Veri islem | Emergency managementDDC classification: FP 385.0285 Summary: Dynamic and real-time control of an emergency arising from railway operations, different ways of modeling and solving that in a computationally effective manner to address real-life implementation issues are analyzed. In railway operations, substantial investment is done in planning a conflict-free operable schedule with diverse performance objectives. Still, when a minor disruption pronounces just-in-time and location, there is the minimum lead time for plan recovery. A few novel rescheduling decisions are formulated, compared in quantitative measures, and analyzed using an aggregate model as a set of constraints and objectives to be solved by (i) a mathematical programming solver, (ii) constructive heuristics, and (iii) agent-based methodology. Readers can expect some valuable insights about emergency management of scheduling in railways, and possibly some of them could be applied in other transport systems as well. Exposure to Optimization theory and computational advances shall be required to appreciate the technical content of the text. Sound knowledge of scheduling and in particular of railways or other transportation modes is a definite requisite. https://www.lap-publishing.com/catalog/details/store/gb/book/978-3-8383-5867-3/dynamic-and-realtime-rescheduling-models
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Books Vikram Sarabhai Library
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Dynamic and real-time control of an emergency arising from railway operations, different ways of modeling and solving that in a computationally effective manner to address real-life implementation issues are analyzed. In railway operations, substantial investment is done in planning a conflict-free operable schedule with diverse performance objectives. Still, when a minor disruption pronounces just-in-time and location, there is the minimum lead time for plan recovery. A few novel rescheduling decisions are formulated, compared in quantitative measures, and analyzed using an aggregate model as a set of constraints and objectives to be solved by (i) a mathematical programming solver, (ii) constructive heuristics, and (iii) agent-based methodology. Readers can expect some valuable insights about emergency management of scheduling in railways, and possibly some of them could be applied in other transport systems as well. Exposure to Optimization theory and computational advances shall be required to appreciate the technical content of the text. Sound knowledge of scheduling and in particular of railways or other transportation modes is a definite requisite.

https://www.lap-publishing.com/catalog/details/store/gb/book/978-3-8383-5867-3/dynamic-and-realtime-rescheduling-models

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