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＜電子ブック＞
Transportation Systems Analysis : Models and Applications / by Ennio Cascetta
(Springer Optimization and Its Applications. ISSN:19316836 ; 29)

版	2nd ed. 2009.
出版者	(New York, NY : Springer US : Imprint: Springer)
出版年	2009
本文言語	英語
大きさ	XVIII, 742 p. 100 illus : online resource
著者標目	*Cascetta, Ennio author SpringerLink (Online service)
件　名	LCSH:Operations research LCSH:Management science LCSH:Civil engineering LCSH:Regional economics LCSH:Spatial economics LCSH:Mathematical models LCSH:Human geography FREE:Operations Research, Management Science FREE:Civil Engineering FREE:Regional and Spatial Economics FREE:Mathematical Modeling and Industrial Mathematics FREE:Human Geography
一般注記	Modeling Transportation Systems: Preliminary Concepts and Application Areas -- Transportation Supply Models -- Random Utility Theory -- Travel-Demand Models -- Basic Static Assignment to Transportation Networks -- Advanced Models for Traffic Assignment to Transportation Networks -- Intraperiod (Within-Day) Dynamic Models -- Estimation of Travel Demand Flows -- Transportation Supply Design Models -- Methods for the Evaluation and Comparison of Transportation System Projects This book provides a comprehensive and systematic presentation of the mathematical models for the simulation of transportation systems and the methodologies for the analysis and design of these systems. Theoretical and operational aspects are presented in a rigorous and exhaustive framework, addressing a broad range of applications performed by researchers and practitioners. Topics are presented with an increasing level of detail and complexity. In this 2nd edition the author extends and generalizes the contents of the previous edition entitled "Transportation Systems Engineering: Theory and Methods" published in 2001. In addition to entirely new material dealing with the recent developments in the field, the text has been revised to simplify the presentation. The Bibliography has also been expanded significantly. All the topics are presented with simple numerical examples as well as with references to real-life applications. The material is structured so as to offer different levels of complexity and different reading paths based on the reader’s needs. It is suitable for graduate level courses on transportation analysis and planning. Prerequisites include a basic knowledge of calculus, optimization techniques, probability theory and statistics. Due to the breadth and depth of topics covered, the book will also serve as an excellent reference guide for researchers, teachers and practitioners HTTP:URL=https://doi.org/10.1007/978-0-387-75857-2

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