Introduction to Transportation Analysis, Modeling and Simulation, 2014
Computational Foundations and Multimodal Applications

Simulation Foundations, Methods and Applications Series

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Language: English

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Introduction to Transportation Analysis, Modeling and Simulation
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Introduction to Transportation Analysis, Modeling and Simulation
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343 p. · 15.5x23.5 cm · Hardback
This comprehensive textbook/reference provides an in-depth overview of the key aspects of transportation analysis, with an emphasis on modeling real transportation systems and executing the models. Topics and features: presents comprehensive review questions at the end of each chapter, together with detailed case studies, useful links, references and suggestions for further reading; supplies a variety of teaching support materials at the book?s webpage on Springer.com, including a complete set of lecture slides; examines the classification of models used for multimodal transportation systems, and reviews the models and evaluation methods used in transportation planning; explains traffic assignment to road networks, and describes computer simulation integration platforms and their use in the transportation systems sector; provides an overview of transportation simulation tools, and discusses the critical issues in the design, development and use of the simulation models.

Computational Foundation in Transportation and Transportation Systems Modeling.- Transportation Models.- Traffic Assignment to Transportation Networks.- Integration Framework and Empirical Evaluation.- Simulation Tools in Transportation.- Transportation Use Cases.

Prof. Dr.-Ing. Dietmar P.F. Möller is a Full Professor in the Institute of Applied Stochastics and Operations Research at Clausthal University of Technology, Germany, a Member of the Simulation Science Center Clausthal-Göttingen, Germany, and an Adjunct Professor in the Department of Electrical Engineering at the University of Nebraska-Lincoln, USA.
Introduces an inter- and multi-modal transportation systems analysis, modeling and simulation based on the continuous-time, discrete-time, and mixed mode modeling and simulation paradigms Presents research-oriented use cases from granted projects showing how to solve real-world transportation systems sector problems Suitable both for self-study and as a use case reference, for job training programs or in graduate schools Includes supplementary material: sn.pub/extras Request lecturer material: sn.pub/lecturer-material