Description
Book SynopsisTraffic assignment is a set of criteria through which the demand for mobility is distributed over the links of a transport network. Over the last 30 years, Dynamic Traffic Assignment (DTA) models have been developed to support time-dependent analyses in nascent fields that need to take into account the temporal distribution of demand and supply. In this book, leading international experts in the field provide a state-of-the-art overview of fundamental DTA research and practice, identifying weaknesses and major challenges for future research. The contributors illustrate that the complexity of DTA predominantly lies in finding a convenient trade-off between mathematical rigorousness and realistic traffic and behavioural models, and that many transport measures now have a necessarily dynamic element, ranging from real-time driver information systems to congestion pricing schemes, affecting the temporal distribution of demand and supply systems. They show that developing models able to predict the effects of these measures with sufficient realism, while maintaining properties of interpretability and computational tractability, is therefore of paramount importance. These, and other important DTA issues and themes are highlighted and discussed at length, with models and applications underpinning central theories and concepts. Drawing current research together in one key volume, this book will prove an invaluable resource for a wide-ranging audience including academics, lecturers and researchers, government agencies, consultants and practitioners engaged in transport planning.
Table of ContentsContents: Preface 1. Dynamic Traffic Assignment: Recent Advances and New Theories Towards Real Time Applications and Realistic Travel Behaviour (Editorial) Francesco Viti and Chris M.J. Tampère PART I: EXISTENCE, UNIQUENESS, CONVERGENCE, STABILITY 2. Signal Setting with Dynamic Process Assignment Giulio E. Cantarella 3. Intelligent Network Control: Using an Assignment–Control Model to Design Fixed Time Signal Timings Mike J. Smith 4. On the Existence of Pure Nash Equilibrium in Dynamic Traffic Assignments Takamasa Iryo 5. Computing Dual Time-scale Dynamic User Equilibria Terry L. Friesz, Tae Il Kim, Changhyun Kwon and Matthew A. Rigdon 6. Route Swap Processes and Convergence Measures in Dynamic Traffic Assignment Richard Mounce and Malachy Carey 7. Continuous Correction Functions for Dynamic Route Choice Algorithms Shmuel Rahamim, Michal Blumberg Nitzani and Hillel Bar-Gera PART II: DYNAMIC NETWORK LOADING MODELS 8. The General Link Transmission Model for Dynamic Network Loading and a Comparison with the DUE Algorithm Guido Gentile 9. Stochastic Dynamic Networks Loading for Travel Time Variability Due to Incidents Ruben Corthout, Chris M.J. Tampère and Lambertus H. (Ben) Immers 10. The Effects of Dynamic Network Loading Models on DTA-based OD Estimation Rodric Frederix, Chris M.J. Tampère, Francesco Viti and Lambertus H. (Ben) Immers 11. A Graph-based Formulation for the Multiple Destinations Dynamic Traffic Assignment Problem Georgios Kalafatas and Srinivas Peeta 12. Study on Dynamic System Optimum Assignment to Establish Marginal Time Equilibrium Takahiro Tsubota and Masao Kuwahara PART III: INCORPORATING TRAVEL CHOICE BEHAVIOUR 13. Linking Macro-level Dynamic Network Loading Models with Scheduling of Individual’s Daily Activity–Travel Pattern Muhammad Adnan 14. Macroscopic Network Loading of Microscopic Travel Demand Gunnar Flötteröd 15. Pre-trip and En-route Route Choice in a Dynamic Traffic Assignment Model Adam J. Pel, Michiel C.J. Bliemer and Serge P. Hoogendoorn 16. Investigating Boundary Issues Arising from Congestion Charging in a Bottleneck Scenario Ethan Y. Ge and Kathryn Stewart PART IV: FROM THEORY TO PRACTICAL APPLICATIONS 17. A Large-scale Urban Traffic Decision Support System with Dynamic Traffic Assignment Yusen Chen, Henk J. van Zuylen and Wim van der Hoeven 18. Investigating for the Solution of Dynamic Demand Estimation Problems Ernesto Cipriani, Michael Florian, Michael Mahut and Marialisa Nigro 19. Comparing Performance and Quality of Traffic Assignments for Microscopic Simulation Michael Behrisch, Daniel Krajzewicz, Peter Wagner and Yun-Pang Wang Index
