Schedule-Based Modeling of Transportation Networks

Theory and applications

  • Agostino Nuzzolo
  • Nigel H. M. Wilson

Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 46)

Table of contents

  1. Front Matter
    Pages 1-11
  2. Otto A. Nielsen, Otto Landex, Rasmus D. Frederiksen
    Pages 1-23
  3. Markus Friedrich
    Pages 1-11
  4. Thomas Haupt, Klaus Nökel, Uwe Reiter
    Pages 1-11
  5. Howard Slavin, Andres Rabinowicz, Jonathan Brandon, Giovanni Flammia, Robert Freimer
    Pages 1-18
  6. Natale Papola, Francesco Filippi, Guido Gentile, Lorenzo Meschini
    Pages 1-26
  7. Jan-Dirk Schmöcker, Michael G H Bell
    Pages 1-23
  8. Ennio Cascetta, Vittorio Marzano, Andrea Papola
    Pages 1-10
  9. Dario Aponte, Fedele Iannone, Andrea Papola
    Pages 1-16
  10. Francesco Russo, Antonino Vitetta, Antonio Comi
    Pages 1-17
  11. Stefano de Luca, Giulio E. Cantarella, Armando Cartenì
    Pages 1-26
  12. Back Matter
    Pages 1-4

About this book

Introduction

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.

 

Keywords

Simulation algorithms assignment optimization scheduled services transportation planning travel demand

Editors and affiliations

  • Agostino Nuzzolo
  • Nigel H. M. Wilson

There are no affiliations available

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-84812-9
  • Copyright Information Springer-Verlag US 2009
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-0-387-84811-2
  • Online ISBN 978-0-387-84812-9
  • Series Print ISSN 1387-666X
  • About this book