Dynamics and Stochasticity in Transportation Systems Part II: Equations and Examples goes beyond theory and mathematical models to give readers a practical understanding of dynamic and stochastic assignment modeling approaches in transportation systems. These approaches are critical for the future of transportation systems analysis, providing a better understanding of system evolution over time and of travelers' behavior in challenging scenarios, including ITS as well as new services, such as shared vehicles, and new kinds of vehicles, such as connected or autonomous vehicles. After an introduction in chapter 1, chapters 2-5 each provide an introduction followed by recent advances, review of contents of the corresponding chapters in Giulio Cantarella’s previous book, discussion of numerical examples matching the sections, a summary, and final remarks. Readers will appreciate the fully discussed numerical examples, applications to real cases, review of recent developments and other materials not easily available in the literature, such as long proofs. This book bridges the mathematical theory with operational needs in a way that no current book does with practical, real-world cases and examples. Academics, researchers, and instructors as well as professionals, practitioners, and consultants will find this a valuable resource for solving network equilibrium problems in transportation systems analysis. Covers dynamic aspects of transportation network analysis through application of mathematical models to real cases Discusses operational issues of mathematical models for evaluation of traffic and transport demand interventions, giving readers a practical approach to these problems and bridging theoretical and operational aspects together Presents recent new developments and the latest research findings since 2019 Includes numerical examples and applications supported by several figures and tables, allowing the reader to reproduce the presented results
Dynamics and Stochasticity in Transportation Systems Part II: Equations and Examples goes beyond theory and mathematical models to give readers a practical understanding of dynamic and stochastic assignment modeling approaches in transportation systems. These approaches are critical for the future of transportation systems analysis, providing a better understanding of system evolution over time and of travelers' behavior in challenging scenarios, including ITS as well as new services, such as shared vehicles, and new kinds of vehicles, such as connected or autonomous vehicles. After an introduction in chapter 1, chapters 2-5 each provide an introduction followed by recent advances, review of contents of the corresponding chapters in Giulio Cantarella’s previous book, discussion of numerical examples matching the sections, a summary, and final remarks. Readers will appreciate the fully discussed numerical examples, applications to real cases, review of recent developments and other materials not easily available in the literature, such as long proofs. This book bridges the mathematical theory with operational needs in a way that no current book does with practical, real-world cases and examples. Academics, researchers, and instructors as well as professionals, practitioners, and consultants will find this a valuable resource for solving network equilibrium problems in transportation systems analysis. Covers dynamic aspects of transportation network analysis through application of mathematical models to real cases Discusses operational issues of mathematical models for evaluation of traffic and transport demand interventions, giving readers a practical approach to these problems and bridging theoretical and operational aspects together Presents recent new developments and the latest research findings since 2019 Includes numerical examples and applications supported by several figures and tables, allowing the reader to reproduce the presented results
Dynamics and Stochasticity in Transportation Systems: Solutions for Transportation Network Modeling breaks new ground on the topics, providing consistent and comprehensive coverage of steady state equilibrium and dynamic assignment within a common strategy. The book details the most recent advances in network assignment, including day-to-day and within-day dynamics, providing a solid foundation to help transportation planners solve transient overload and other problems. Users will find a book that fills the gap in knowledge with its description on how to use and employ the latest dynamic network models for evaluation of traffic and transport demand interventions. This book demystifies the many different dynamic traffic assignment approaches and requires no previous knowledge on the part of the reader. All results are fully described and proven, thus eliminating the need to seek out other references. The skills described will appeal to transportation professionals, researchers and graduate students alike. Presents a consistent and comprehensive theory on steady state equilibrium assignment and day-to-day dynamic assignment models within a common framework Describes and solves modeling calculations in detail, with no need to reference other sources Includes numerical and graphical examples, text boxes and summaries at the end of each chapter to help readers better understand theoretical components Includes primary mathematical tools necessary for each dynamic model, easing comprehension
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.