Dynamics and Stochasticity in Transportation Systems : Tools for Transportation Network Modelling
Language: English
Published by Elsevier Inc Dez 2019, 2019
- Softcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 326.07
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Add to basketItem description from seller
Neuware - 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.…
Seller Inventory # 9780128143537
- Title
- Dynamics and Stochasticity in Transportation Systems : Tools for Transportation Network Modelling
- Author
- Stefano de Luca
- Publisher
- Elsevier Inc Dez 2019
- Publication year
- 2019
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0128143533
- ISBN 13
- 9780128143537
- Item weight
- 617 grams
- Dimensions
- 235x191x19 mm
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
"Synopsis" may belong to another edition of this title.
About the Author
David Watling is a centenary professor of transport analysis for the Institute for Transport Studies, at the University of Leeds, Leeds, UK. He is an internationally recognized expert on the analysis, mathematical modelling, and optimization of transportation systems. His additional research areas include traffic network models, network reliability modelling and assessment, and visioning and alternative/qualitative paradigms for long-range transport planning. He serves on the Editorial Advisory Board for Elsevier’s Transportation Research Part B: Methodological. He has authored more than 60 journal articles, including in Elsevier’s Transportation Part Research B: Methodological, Transportation Research Part A: Policy and Practice, Transportation Research Part E: Logistics and Transportation Review, and Journal of Transport Geography.
Stefano de Luca is an associate professor of Transportation Planning and Transportation Systems Theory in the Department of Civil Engineering at the University of Salerno, in Salerno, Italy, and he is the director of the Transportation Planning and Modelling Laboratory. His research focus includes transportation planning techniques, choice modelling, signal settings design, traffic assignment models and algorithms, freight/passenger terminal simulation and optimization. He advises city, regional, and national governments on transportation planning issues, and serves on the Editorial Advisory Board for the Journal of Advanced Transportation and Sustainability. He has authored more than 100 book chapters and journal articles, in Elsevier’s Transportation Research Part A: Policy and Practice, Transportation Research Part B: Methodological, Transportation Research Part C: Emerging Technologies, Journal of Transport Geography and Transport Policy.
Roberta Di Pace is a tenure-track assistant professor of transportation systems in the Department of Civil Engineering at the University of Salerno, in Salerno, Italy, and currently, she is a committee member of the department’s research commission and PhD program. Her research focus includes the traffic flow modelling and simulation, the development of analytical tools for Cooperative – Intelligent Transportation Systems and in particular for the advanced urban traffic management and the travellers’information systems, the modelling behaviour and the traffic assignment. She is a member of the Editorial Advisory Board of the Journal of Advanced Transportation and the Mathematical Problems in Engineering.
She has authored more than 50 book chapters and journal articles, including in Elsevier’s Transportation Research Part C: Emerging Technologies, Transportation Research Part B: Methodological and Transportation Research Part A: Policy and Practice.
"About the title" may belong to another edition of this title.
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