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Herausgeber: 
  • Nigel H. M. Wilson
  • Agostino Nuzzolo
  • Schedule-Based Modeling of Transportation Networks: Theory and applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2008  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Decision Making / Economics of industrial organisation / engineering / Engineering economics / Engineering Economics, Organization, Logistics, Marketing / Engineering economy / Engineering# general
    ISBN:  9780387848112 
    EAN-Code: 
    9780387848112 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #46 - Operations Research/Computer Science Interfaces Series  
    Dimensionen:  H 235 mm / B 155 mm / D 22 mm 
    Gewicht:  658 gr 
    Seiten:  315 
    Illustration:  XII, 315 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Schedule-Based Modeling of Transportation Networks: Theory and Applications follows the book Schedule-Based Dynamic Transit Modeling , published in this series in 2004, recognizing the critical role that schedules play in transportation systems.

    Conceived for the simulation of transit systems, in the last few years the schedule-based approach has been expanded and applied to operational planning of other transportation schedule services besides mass transit, e.g. freight transport. This innovative approach allows forecasting the evolution over time of the on-board loads on the services and their time-varying performance, using credible user behavioral hypotheses. It opens new frontiers in transportation modeling to support network design, timetable setting, and investigation of congestion effects, as well as the assessment of such new technologies, such as users system information (ITS technologies).

    The contributors and editors of the book are leading researchers in the field of transportation, and in this volume they build a solid foundation for developing still more sophisticated models. These future models of scheduled transportation systems will continue to improve the accuracy and sensitivity desired in forecasting the performance of public transport systems.

     

      



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