Traffic Data Collection and its Standardization

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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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.

• Mathematical Programming
• Operations Research
• Transport
• Transportation Engineering
• Transportation Modeling
• car
• logistics
• traffic simulation

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

  Jaume Barceló

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

  Masao Kuwahara

Policies and ethics