Dynamic and Stochastic Traffic Network Models and Their Applications

Author: Li Shuo, Fan Bingquan
Publisher:
Publish Date: 2005-03-01
Features: Dynamic and stochastic traffic network models are the foundation of traffic control and intelligent transportation systems (ITS). This book is a summary of a systematic research conducted in this field by the authors over the past few years, based on a thorough understanding of domestic and international cutting-edge research. The main contents include: new developments in the research of dynamic and stochastic traffic network models, variational inequality (VIP) models and algorithms for dynamic traffic networks, macro models for dynamic travel time on links, algorithm research on dynamic equilibrium assignment problems for large-scale traffic networks based on paths, stochastic dynamic traffic assignment models and their applications, etc. This book can serve as a reference textbook for senior undergraduate students in traffic engineering and transportation planning, as well as for master's and doctoral students in traffic information engineering and control, traffic planning and management, and traffic systems engineering. It can also be used as a reference for scientists and engineers working in the fields of intelligent transportation systems, traffic information engineering and control, and transportation planning, as well as for senior management personnel.
Dynamic and stochastic traffic network models are the foundation of traffic control and intelligent transportation systems (ITS). This book is a summary of a systematic research conducted in this field by the authors over the past few years, based on a thorough understanding of domestic and international cutting-edge research. The main contents include: new developments in the research of dynamic and stochastic traffic network models, variational inequality (VIP) models and algorithms for dynamic traffic networks, macro models for dynamic travel time on links, algorithm research on dynamic equilibrium assignment problems for large-scale traffic networks based on paths, stochastic dynamic traffic assignment models and their applications, etc. This book can serve as a reference textbook for senior undergraduate students in traffic engineering and transportation planning, as well as for master's and doctoral students in traffic information engineering and control, traffic planning and management, and traffic systems engineering. It can also be used as a reference for scientists and engineers working in the fields of intelligent transportation systems, traffic information engineering and control, and transportation planning, as well as for senior management personnel.