Traffic Simulation and Data (eBook, PDF)

Validation Methods and Applications
Redaktion: Daamen, Winnie; Hoogendoorn, Serge P.; Buisson, Christine

• Format: PDF

Produktbeschreibung

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 incorpo

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Produktdetails

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

Autorenporträt

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.

Inhaltsangabe

Introduction. Data collection techniques. Data processing and enhancement
techniques. Calibration and validation principles. Sensitivity analysis.
Network model calibration studies. Validation. Conclusions. References.
Appendices.