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Traffic Flow Modelling

Introduction to Traffic Flow Theory Through a Genealogy of Models

  • Femke Kessels

Part of the EURO Advanced Tutorials on Operational Research book series (EUROATOR)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Femke Kessels
    Pages 1-19
  3. Femke Kessels
    Pages 21-34
  4. Femke Kessels
    Pages 35-51
  5. Femke Kessels
    Pages 53-81
  6. Femke Kessels
    Pages 83-97
  7. Femke Kessels
    Pages 99-106
  8. Femke Kessels
    Pages 107-114
  9. Femke Kessels
    Pages 115-123
  10. Back Matter
    Pages 125-130

About this book

Introduction

This book introduces readers to the main traffic flow modelling approaches and discusses their features and applications. It provides a comprehensive and cutting-edge review of traffic flow models, from their roots in the 1930s to the latest developments in the field. In addition, it presents problem sets that offer readers further insights into the models and hands-on experience with simulation approaches. The simulations used in the exercises can be built upon for readers’ own research or other applications.
The models discussed in this book are applied to describe, predict and control traffic flows on roads with the aid of rapid and accurate estimations of current and future states. The book shows how these models are developed, what their chief characteristics are, and how they can be effectively employed.

Keywords

vehicular road traffic genealogical model tree homogeneous roads simulation of longitudinal movements traffic optimization traffic flow modelling cycle capacity drop agent-based traffic flow models mesoscopic traffic flow models continuum models

Authors and affiliations

  • Femke Kessels
    • 1
  1. 1.Department of Transport & Planning, Delft University of Technology, Delft, The Netherlands; Logistics, Tourism and Service Management, German University of TechnologyMuscatOman

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-78695-7
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-78694-0
  • Online ISBN 978-3-319-78695-7
  • Series Print ISSN 2364-687X
  • Series Online ISSN 2364-6888
  • Buy this book on publisher's site