Daamen / Buisson / Hoogendoorn Traffic Simulation and Data

Validation Methods and Applications
1. Auflage 2014
ISBN: 978-1-4822-2871-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: 0 - No protection

E-Book, Englisch, 262 Seiten

A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project—a European Cost Action project that incorporates work packages defining traffic simulation practice and research; highway and network modeling; and synthesis, dissemination, and training. This book addresses the calibration and validation of traffic models, and introduces necessary frameworks and techniques. It also includes viable methods for sensitivity analyses, and incorporates relevant tools for application.

The book begins with a brief summary of various data collection techniques that can be applied to collect different data types. It then showcases various data processing and enhancement techniques for improving the quality of collected data. It also introduces the techniques according to the type of estimation, for example microscopic data enhancement, traffic state estimation, feature extraction and parameter identification techniques, and origin–destination matrix estimation. The material discusses the measures of performance, data error and goodness of fit, and optimization algorithms. It also contains the sensitivity analyses of parameters in traffic models.

- Describes the various tasks of calibration and validation

- Considers the best use of available data

- Presents the sensitivity analysis method

- Discusses typical issues of data error in transportation system data and how these errors can impact simulation results

- Details various methodologies for data collection, sensitivity analysis, calibration, and validation

- Examines benefits that result from the application of these methods

Traffic Simulation and Data: Validation Methods and Applications serves as a key resource for transport engineers and planners, researchers, and graduate students in transport engineering and planning.

Zielgruppe

Transport engineers and planners, researchers and graduate students in transport engineering and planning.

Autoren/Hrsg.

Daamen, Winnie

Buisson, Christine

Hoogendoorn, Serge P.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

Introduction

Christine Buisson, Winnie Daamen and Serge Hoogendoor

Data collection techniques

Jean-Mic hel Auberlet, Ashish Bhaskar, Biagio Ciuffo and Axel Leonhard

Data processing and enhancement techniques

Costas Antoniou, Jaime Barcelo, Christine Buisson, Serge

Hoogendoorn, Thomas Sc hreiter and Yufei Yuan

Calibration and validation principles

Christine Buisson, Winnie Daamen, Vincenzo Punzo and Peter Wagner

Sensitivity analysis

Biagio Ciuffo, Serge Hoogendoorn and Vincenzo Punzo

Network model calibration studies

Carlos Azevedo, Jaime Barcelo, Gunnar Flötteröd, Biagio Ciuffo,

Tatiana Kolechkina, Tomer Toledo and Peter Wagner

Validation

Costas Antoniou, Jordi Casas, Haris Koutsopoulos and Ronghui Li u

Conclusions

Christine Buisson, Winnie Daamen, and Serge Hoogendoorn

References

Appendices

Über Autor(innen)

Winnie Daamen is an assistant professor at Delft University of Technology. Her research interests have developed from pedestrian behavior and modeling into traffic flow theory and simulation of vehicular traffic and vessel traffic. She also studies and predicts encounters of vessels in ports and waterways using similar technologies.

Christine Buisson is a directrice de recherche at IFSTTAR in Lyon, France. Her current research focuses on detailed freeway traffic flow data collection methods, and on the understanding of how microscopic behavior of driver-vehicle pairs (lane changes, accelerations, etc.) and their variability determines global traffic behavior.

Serge Hoogendoorn is a professor at Delft University of Technology. In recent years his research has centered on (i) theory, modelling, and simulation of multi-class traffic and transportation networks; (ii) development of methods for integrated control of these networks (regional network management, crowd management); (iii) impact of uncertainty of travel behavior and network operations; (iv) impact of ICT (information, driver support, etc.) on network flow operations, and (v) fundamentals of traffic network dynamics. In all these topics, his work has focused on both recurrent and emergency situations.