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Integrating Routing Decisions in Public Transportation Problems [electronic resource] /by Marie E. Schmidt.

by Schmidt, Marie E [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Optimization and Its Applications: 89Publisher: New York, NY : Springer New York : 2014.Description: IX, 227 p. 23 illus. online resource.ISBN: 9781461495666.Subject(s): Mathematics | Computer software | Civil engineering | Mathematics | Operations Research, Management Science | Civil Engineering | Algorithm Analysis and Problem ComplexityDDC classification: 519.6 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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Item type Current location Call number Status Date due Barcode
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Long Loan MAIN LIBRARY
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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.

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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