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|a 10.1007/978-1-4614-9566-6
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|a Schmidt, Marie E.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Integrating Routing Decisions in Public Transportation Problems
|h [electronic resource] /
|c by Marie E. Schmidt.
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|a 1st ed. 2014.
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2014.
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|a IX, 227 p. 23 illus.
|b online resource.
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|a text
|b txt
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|a text file
|b PDF
|2 rda
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|a Springer Optimization and Its Applications,
|x 1931-6828 ;
|v 89
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| 505 |
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|a 1. Introduction -- 2. Line Planning -- 3. Timetabling -- 4. Delay Management -- 5. An Iterative Solution Approach for General Network Problems with Routing -- 6. Conclusions and Outlook -- Frequently Used Notation -- References -- Index.
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|a This book treats three planning problems arising in public railway transportation planning: line planning, timetabling, and delay management, with the objective to minimize passengers’ travel time. While many optimization approaches simplify these problems by assuming that passengers’ route choice is independent of the solution, this book focuses on models which take into account that passengers will adapt their travel route to the implemented planning solution. That is, a planning solution and passengers’ routes are determined and evaluated simultaneously. This work is technically deep, with insightful findings regarding complexity and algorithmic approaches to public transportation problems with integrated passenger routing. It is intended for researchers in the fields of mathematics, computer science, or operations research, working in the field of public transportation from an optimization standpoint. It is also ideal for students who want to gain intuition and experience in doing complexity proofs and designing polynomial-time algorithms for network problems. The book models line planning, timetabling, and delay management as combined design and routing problems on networks. In a complexity analysis, the border between NP-hard and polynomially solvable problems is illustrated. Based on that, the insights gained are used to develop solution approaches for the considered problems. Besides integer programming formulations, a heuristic method iterating planning and routing steps is proposed to solve the problems.
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|a Operations research.
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|a Management science.
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|a Civil engineering.
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|a Algorithms.
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|a Operations Research, Management Science.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M26024
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|a Civil Engineering.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T23004
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|a Algorithm Analysis and Problem Complexity.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I16021
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9781461495659
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|i Printed edition:
|z 9781461495673
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|i Printed edition:
|z 9781493948000
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| 830 |
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|a Springer Optimization and Its Applications,
|x 1931-6828 ;
|v 89
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|u https://doi.org/10.1007/978-1-4614-9566-6
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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