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Titlebook: Dynamic Urban Transportation Network Models; Theory and Implicati Bin Ran,David E. Boyce Book 19941st edition Springer-Verlag Berlin Heidel

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發(fā)表于 2025-3-21 16:51:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Dynamic Urban Transportation Network Models
副標(biāo)題Theory and Implicati
編輯Bin Ran,David E. Boyce
視頻videohttp://file.papertrans.cn/284/283801/283801.mp4
叢書名稱Lecture Notes in Economics and Mathematical Systems
圖書封面Titlebook: Dynamic Urban Transportation Network Models; Theory and Implicati Bin Ran,David E. Boyce Book 19941st edition Springer-Verlag Berlin Heidel
描述Intelligent Vehicle-Highway Systems are providing a welcome stimulus to research on dynamic urban transportation network models. This book presents a new generation of models for solving dynamic travel choice problems including traveler‘s destination choice, mode choice, departure/arrival time choice and route choice. These models are expected to function as off-line travel forecasting and evaluation tools, and eventually as on-line prediction and control models in advanced traveler information and traffic management systems. In addition to a rich set of new formulations and solution algorithms, the book provides a summary of the necessary mathematical background and concludes with a discussion of the requirements for model implementation.
出版日期Book 19941st edition
關(guān)鍵詞Motor; Transportsysteme; Urban Transportation; algorithms; control theory; linear optimization; mathematic
版次1
doihttps://doi.org/10.1007/978-3-662-00773-0
isbn_ebook978-3-662-00773-0Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer-Verlag Berlin Heidelberg 1994
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Operative betriebliche Anwendungssystemefically, nonlinear programming (NLP) problems with equality and nonnegativity constraints are presented for comparison. Similarities between discrete optimal control problems and mathematical programming are emphasized.
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Howard Nothhaft,Jens Seiffert-Brockmannal road capacity is available. Furthermore, the route guidance system would provide travelers with accurate, current information on both transit and road networks so that some motorists could make their own time-cost tradeoffs and shift to transit, if appropriate.
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Discrete Optimal Control, Mathematical Programming and Variational Inequality Problemsfically, nonlinear programming (NLP) problems with equality and nonnegativity constraints are presented for comparison. Similarities between discrete optimal control problems and mathematical programming are emphasized.
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Variational Inequality Models of Dynamic Departure Time/Route Choice Problemsional inequality model for joint departure time/route choice is presented in Section 14.1. In a parallel fashion, a link-based variational inequality model is proposed in Section 14.2. The relationship between the variational inequality models and the optimization models is discussed in Section 14.3.
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