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.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Gastos de envío:
EUR 5,24
De Reino Unido a Estados Unidos de America
Descripción paperback. Condición: New. Language: ENG. Nº de ref. del artículo: 9781138075917
Descripción Condición: New. Buy with confidence! Book is in new, never-used condition 1. Nº de ref. del artículo: bk1138075914xvz189zvxnew
Descripción Condición: New. New! This book is in the same immaculate condition as when it was published 1. Nº de ref. del artículo: 353-1138075914-new
Descripción Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. Nº de ref. del artículo: B9781138075917
Descripción Paperback. Condición: Brand New. 262 pages. 9.25x6.14x0.59 inches. In Stock. Nº de ref. del artículo: __1138075914
Descripción PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9781138075917
Descripción Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Nº de ref. del artículo: ria9781138075917_lsuk
Descripción Paperback. Condición: New. Nº de ref. del artículo: 6666-IUK-9781138075917
Descripción Condición: New. Nº de ref. del artículo: I-9781138075917
Descripción Paperback. Condición: Brand New. 262 pages. 9.25x6.14x0.59 inches. In Stock. Nº de ref. del artículo: x-1138075914