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.
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.
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
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
Costas Antoniou, Jordi Casas, Haris Koutsopoulos and Ronghui Li u
Christine Buisson, Winnie Daamen, and Serge Hoogendoorn