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.‎