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020 _a9781461495659
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024 7 _a10.1007/978-1-4614-9566-6
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082 0 4 _223
100 1 _aSchmidt, Marie E.,
245 1 0 _aIntegrating routing decisions in public transportation problems
_h[electronic resource] /
_cMarie E. Schmidt.
264 1 _aNew York :
_bSpringer,
_c2014.
300 _a1 online resource (ix, 227 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_vvolume 89
504 _aIncludes bibliographical references and index.
505 0 _tLine Planning
_t-- Timetabling
_t-- Delay Management
_t-- An Iterative Solution Approach for General Network Problems with Routing
_t-- Conclusions and Outlook
_t-- Frequently Used Notation.
520 _aThis 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.
590 _aeBooks on EBSCOhost
_bAll EBSCO eBooks
650 0 _aTransportation
_xPlanning
_xMathematical models.
650 0 _aMathematical optimization.
650 1 4 _aMathematics.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aCivil Engineering.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 7 _aBUSINESS & ECONOMICS
_xIndustries
_xTransportation.
_2bisacsh
650 7 _aTRANSPORTATION
_xPublic Transportation.
_2bisacsh
650 7 _aMathematical optimization.
_2fast
650 7 _aTransportation
_xPlanning
_xMathematical models.
_2fast
655 4 _aElectronic books.
830 0 _aSpringer optimization and its applications ;
_vv. 89.
856 4 0 _uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=683094
776 0 8 _iPrint version:
_aSchmidt, Marie E.
_tIntegrating Routing Decisions in Public Transportation Problems.
_dDordrecht : Springer, ©2014
_z9781461495659
942 _2lcc
_cEKT
999 _c41116
_d41116