eBook, PDF

Traffic Simulation and Data (eBook, PDF)

Validation Methods and Applications

Redaktion: Daamen, Winnie; Hoogendoorn, Serge P.; Buisson, Christine

Beschreibung

This book provides an overview of calibration and validation techniques for traffic simulation models. It details the data required as an input for the calibration and validation processes and shows how to increase its applicability using data enhancement techniques. It presents an extensive overview of traffic estimation, calibration, and validation techniques, taking into account the key factor of uncertainty. This book derives from the MULTITUDE project of the European Union COST framework.

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Autor

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.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 262
• Erscheinungstermin: 17. September 2014
• Englisch
• ISBN-13: 9781482228717
• Artikelnr.: 57081162