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Traffic Data Collection and its Standardization

  • Book
  • © 2010

Overview

Editors:
  1. Jaume Barceló

    1. Dept. Statistics & Operations Research, Universitat Politècnica de Catalunya, Barcelona, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Masao Kuwahara

    1. Inst. Industrial Science, University of Tokyo, Tokyo, Japan

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    You can also search for this editor in PubMed   Google Scholar

  • Presents the state of the art in traffic data collection and standardization.
  • Brings the field completely up to date.
  • As ITS are increasingly being developed around the world, the information in this book is critically needed.

Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 144)

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Table of contents (12 chapters)

  1. Front Matter

    Pages I-XI
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  2. Traffic Data Collection and Its Standardization

    • Jaume Barceló, Masao Kuwahara, Marc Miska
    Pages 1-10

  3. Data Collection, Use and Provision at the Transport Data Centre, New South Wales, Australia

    • Peter Hidas
    Pages 11-24

  4. Data Collection for Measuring Performance of Integrated Transportation Systems

    • Wei-Bin Zhang, Alex Skabardonis, Meng Li, Jingquan Li, Kun Zhou, Liping Zhang
    Pages 25-45

  5. International Traffic Database: Gathering Traffic Data Fast and Intuitive

    • Marc Miska, Hiroshi Warita, Alexandre Torday, Masao Kuwahara
    Pages 47-56

  6. Data Mining for Traffic Flow Analysis: Visualization Approach

    • Takahiko Kusakabe, Takamasa Iryo, Yasuo Asakura
    Pages 57-72

  7. The Influence of Spatial Factors on the Commuting Trip Distribution in the Netherlands

    • Tom Thomas, Bas Tutert
    Pages 73-87

  8. Dynamic Origin–Destination Matrix Estimation Using Probe Vehicle Data as A Priori Information

    • Rúna Ásmundsdóttir, Yusen Chen, Henk J. van Zuylen
    Pages 89-108

  9. Using Probe Vehicle Data for Traffic State Estimation in Signalized Urban Networks

    • Henk J. van Zuylen, Fangfang Zheng, Yusen Chen
    Pages 109-127

  10. Floating Car Data Based Analysis of Urban Travel Times for the Provision of Traffic Quality

    • Jan Fabian Ehmke, Stephan Meisel, Dirk Christian Mattfeld
    Pages 129-149

  11. A Cost-Effective Method for the Detection of Queue Lengths at Traffic Lights

    • Thorsten Neumann
    Pages 151-160

  12. Extended Floating Car Data in Co-operative Traffic Management

    • Thomas Scheider, Martin Böhm
    Pages 161-170

  13. Microscopic Data for Analyzing Driving Behavior at Traffic Signals

    • Francesco Viti, Serge P. Hoogendoorn, Henk J. van Zuylen, Isabel R. Wilmink, Bart van Arem
    Pages 171-191

  14. Back Matter

    Pages 193-194
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Keywords

About this book

A nice night of October 2007, in Beijing, during the XV World Conference on ITS a number of colleagues met informally for a dinner party that spontaneously became a vivid discussion on the importance of traffic data for all types of p- poses. Researchers can hardly do any progress in modeling, developing, and te- ing theories without suitable data, and what practitioners can do in real life is limited not only by technology but also by the availability of the required data. Quite frequently, the data and not the technologies are what determine how far we can go. Any discussion about traffic data leads in a natural way to a discussion on the variety of traffic data sources, formats, levels of aggregation, accuracies, and so on. Consequently, we moved to talk on the initiative that Kuwahara had undertaken in his traffic laboratory at the University of Tokyo, known as the International Traffic Data Base, and thus smoothly but inexorably we came to agree that it would be convenient to organize a workshop to continue our discussion at a more formal level, share our points of view with other colleagues, listen what they had to say and, if possible, d- seminate the findings in our professional and academic communities.

Editors and Affiliations

  • Dept. Statistics & Operations Research, Universitat Politècnica de Catalunya, Barcelona, Spain

    Jaume Barceló

  • Inst. Industrial Science, University of Tokyo, Tokyo, Japan

    Masao Kuwahara

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