This book contains twelve selected papers presented at the International Workshop on Traffic Data Collection and its Standardization held on September 8-9th 2008 in Barcelona. Organized and chaired by Barcelo and Kuwahara, the workshop was intended to examine the purposes and quality of data and how it is collected and used in traffic analysis, with the overall intent of improving and standardizing the practice.

Traffic data is the cornerstone to everything from the most classical traffic control analysis to the most advanced real-time control and management implementing modern Intelligent Transportation Systems (ITS) applications. These applications are primarily based on the availability of traffic data supplied by a Data Collection System which, equipped with more or less sophisticated technologies, provides measurements on the fundamental traffic variables, ideally with the required level of temporal aggregation, and perhaps, when the technology allows it, additional measurements on other variables of interest, depending on the type of application in which they will be used. The applications are in turn supported by models, and in fact the primary use of the data is to provide the input to traffic models whose quality depends on the quality, consistency, robustness, completion and other characteristics of the data.

The main papers presented at the workshop dealt with

• which kind of data are available and under what conditions,

• what kind of data are needed for
• • online applications
  • model calibration/validation
  • safety analysis
• data source reliability
• how standardization can accelerate developments in the field, and how traffic data can be accessed more easily

The papers presented, from which the final twelve were chosen:

1. Calibrating the Fundamental Diagram in Congestion: Methods Based on Observations at Consecutive Loop-Detectors

2. Nicolas Chiabaut, Ludovic Leclercq, Tiphaine Bretin, Christine Buisson

   Universite de Lyon, INRETS / ENTPE, LICIT,

3. A cost-effective Method for the Detection of Queue Lengths at Traffic Lights

Thorsten Neumann

German Aerospace Center, Institute of Transportation Systems

3. Fusing Road Travel Time Data

F. Soriguera CENIT Center for Innovation in Transport, Technical

University of Catalonia (UPC)

D. Abeijon, CENIT Center for Innovation in Transport, Technical University of Catalonia (UPC),

F. Robuste, School of Civil Engineering, Technical University of Catalonia

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

2. Jan Fabian Ehmke, Stephan Meisel, Dirk Christian Mattfeld, Universitat Braunschweig, Carl-Friedrich Gauss Department, Business Information Systems, Decision Support Group

3. Extended Floating Car Data in cooperative traffic management

4. Thomas Scheider, Martin Bohm, AustriaTech,

5. Long-term Investigations of Quality and Reliability of the Video Image Detection System m3

6. Ralf Reulke, Beate Meffert, Bjorn Piltz

   Humboldt-Universitat zu Berlin,

   Sascha Bauer, Daniel Hein, Marc Hohloch, Karsten Kozempel

   German Aerospace Center, Institute for Transportation Systems,

7. Data Mining For Traffic Flow Analysis: Visualization Approach

8. Takahiko KUSAKABE, Takamasa IRYO, Yasuo ASAKURA

   Graduate School of Engineering, Kobe University

9. Microscopic data collection method for analyzing driving behavior at traffic signals

10. Francesco Viti, Serge P. Hoogendoorn, Henk J. van Zuylen

    Delft University of Technology

    Isabel R. Wilmink, Bart van Arem

    TNO, business unit Mobility & Logistics,

11. Data Collection for Measuring Performance of an Integrated Transportation System

12. Wei-Bin Zhang, Alex Skabardonis, Meng Li, Jingquan Li, Kun Zhou, Liping Zhang

    California PATH Program, University of California at Berkeley,

13. Data Requirements for Experimental and Operational Validations of Real-time Traffic Simulation Tools

14. Christine BUISSON, Aurelien DURET

    Universite de Lyon, ENTPE-INRETS, Laboratoire d Ingenierie Circulation Transports LICIT.

15. Parameterization of distribution using survey data: The influence of spatial factors on commuting trips in The Netherlands

16. Tom Thomas, Bas Tutert

    University of Twente, The Netherlands

17. Using floating car data for traffic state estimation in signalized urban networks

18. Henk van Zuylen, Yusen Chen, Fangfang Zheng

    Delft University of Technology

19. Exploring floating car data as a-priori information to dynamic origin destination matrix estimation

20. Yusen Chen, Henk van Zuylen, Runa Asmundsdottir

    Delft University of Technology

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

22. Peter Hidas

    Manager, Transport Model Application Transport Data Centre, NSW Ministry of Transport

23. Hysteresis in the fundamental diagram: impact of measurement methods

24. Jorge A. Laval

    School of Civil and Environmental Engineering, Georgia Institute 4 of Technology

25. Notes on traffic data, traffic applications and traffic models

26. Jaume Barcelo, Dept. of Statistics and Operations Research,

    Technical University of Catalonia

27. Standardising Traffic Data Managed by a Road Authority

28. Stuart Ballingall, Manager Road Information Services, VicRoads

29. International Traffic Data Base

Mark Miska, Masao Kuwahara, University of Tokyo"

Simulation Approaches in Transportation Analysis Recent Advances and Challenges presents the latest developments in transport simulation, including dynamic network simulation and micro-simulation of people 's movement in an urban area. It offers a collection of the major simulation models that are now in use throughout the world; it illustrates each model in detail, examines potential problems, and points to directions for future development. The reader will be able to understand the functioning, applicability, and usefulness of advanced transport simulation models. The material in this book will be of wide use to graduate students and practitioners as well as researchers in the transportation engineering and planning fields.

This book contains twelve selected papers presented at the International Workshop on Traffic Data Collection and its Standardization held on September 8-9th 2008 in Barcelona. Organized and chaired by Barcelo and Kuwahara, the workshop was intended to examine the purposes and quality of data and how it is collected and used in traffic analysis, with the overall intent of improving and standardizing the practice.

Traffic data is the cornerstone to everything from the most classical traffic control analysis to the most advanced real-time control and management implementing modern Intelligent Transportation Systems (ITS) applications. These applications are primarily based on the availability of traffic data supplied by a Data Collection System which, equipped with more or less sophisticated technologies, provides measurements on the fundamental traffic variables, ideally with the required level of temporal aggregation, and perhaps, when the technology allows it, additional measurements on other variables of interest, depending on the type of application in which they will be used. The applications are in turn supported by models, and in fact the primary use of the data is to provide the input to traffic models whose quality depends on the quality, consistency, robustness, completion and other characteristics of the data.

The main papers presented at the workshop dealt with

• which kind of data are available and under what conditions,

• what kind of data are needed for
• • online applications
  • model calibration/validation
  • safety analysis
• data source reliability
• how standardization can accelerate developments in the field, and how traffic data can be accessed more easily

The papers presented, from which the final twelve were chosen:

1. Calibrating the Fundamental Diagram in Congestion: Methods Based on Observations at Consecutive Loop-Detectors

2. Nicolas Chiabaut, Ludovic Leclercq, Tiphaine Bretin, Christine Buisson

   Universite de Lyon, INRETS / ENTPE, LICIT,

3. A cost-effective Method for the Detection of Queue Lengths at Traffic Lights

Thorsten Neumann

German Aerospace Center, Institute of Transportation Systems

3. Fusing Road Travel Time Data

F. Soriguera CENIT Center for Innovation in Transport, Technical

University of Catalonia (UPC)

D. Abeijon, CENIT Center for Innovation in Transport, Technical University of Catalonia (UPC),

F. Robuste, School of Civil Engineering, Technical University of Catalonia

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

2. Jan Fabian Ehmke, Stephan Meisel, Dirk Christian Mattfeld, Universitat Braunschweig, Carl-Friedrich Gauss Department, Business Information Systems, Decision Support Group

3. Extended Floating Car Data in cooperative traffic management

4. Thomas Scheider, Martin Bohm, AustriaTech,

5. Long-term Investigations of Quality and Reliability of the Video Image Detection System m3

6. Ralf Reulke, Beate Meffert, Bjorn Piltz

   Humboldt-Universitat zu Berlin,

   Sascha Bauer, Daniel Hein, Marc Hohloch, Karsten Kozempel

   German Aerospace Center, Institute for Transportation Systems,

7. Data Mining For Traffic Flow Analysis: Visualization Approach

8. Takahiko KUSAKABE, Takamasa IRYO, Yasuo ASAKURA

   Graduate School of Engineering, Kobe University

9. Microscopic data collection method for analyzing driving behavior at traffic signals

10. Francesco Viti, Serge P. Hoogendoorn, Henk J. van Zuylen

    Delft University of Technology

    Isabel R. Wilmink, Bart van Arem

    TNO, business unit Mobility & Logistics,

11. Data Collection for Measuring Performance of an Integrated Transportation System

12. Wei-Bin Zhang, Alex Skabardonis, Meng Li, Jingquan Li, Kun Zhou, Liping Zhang

    California PATH Program, University of California at Berkeley,

13. Data Requirements for Experimental and Operational Validations of Real-time Traffic Simulation Tools

14. Christine BUISSON, Aurelien DURET

    Universite de Lyon, ENTPE-INRETS, Laboratoire d Ingenierie Circulation Transports LICIT.

15. Parameterization of distribution using survey data: The influence of spatial factors on commuting trips in The Netherlands

16. Tom Thomas, Bas Tutert

    University of Twente, The Netherlands

17. Using floating car data for traffic state estimation in signalized urban networks

18. Henk van Zuylen, Yusen Chen, Fangfang Zheng

    Delft University of Technology

19. Exploring floating car data as a-priori information to dynamic origin destination matrix estimation

20. Yusen Chen, Henk van Zuylen, Runa Asmundsdottir

    Delft University of Technology

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

22. Peter Hidas

    Manager, Transport Model Application Transport Data Centre, NSW Ministry of Transport

23. Hysteresis in the fundamental diagram: impact of measurement methods

24. Jorge A. Laval

    School of Civil and Environmental Engineering, Georgia Institute 4 of Technology

25. Notes on traffic data, traffic applications and traffic models

26. Jaume Barcelo, Dept. of Statistics and Operations Research,

    Technical University of Catalonia

27. Standardising Traffic Data Managed by a Road Authority

28. Stuart Ballingall, Manager Road Information Services, VicRoads

29. International Traffic Data Base

Mark Miska, Masao Kuwahara, University of Tokyo"

Simulation Approaches in Transportation Analysis Recent Advances and Challenges presents the latest developments in transport simulation, including dynamic network simulation and micro-simulation of people 's movement in an urban area. It offers a collection of the major simulation models that are now in use throughout the world; it illustrates each model in detail, examines potential problems, and points to directions for future development. The reader will be able to understand the functioning, applicability, and usefulness of advanced transport simulation models. The material in this book will be of wide use to graduate students and practitioners as well as researchers in the transportation engineering and planning fields.