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＜電子ブック＞
Mathematical Methods on Optimization in Transportation Systems / edited by M. Pursula, Jarko Niittymäki
(Applied Optimization ; 48)

版	1st ed. 2001.
出版者	(New York, NY : Springer US : Imprint: Springer)
出版年	2001
本文言語	英語
大きさ	VII, 247 p : online resource
著者標目	Pursula, M editor Niittymäki, Jarko editor SpringerLink (Online service)
件　名	LCSH:Civil engineering LCSH:Human geography LCSH:Dynamics LCSH:Nonlinear theories LCSH:Mechanical engineering LCSH:Mathematics LCSH:Regional economics LCSH:Spatial economics FREE:Civil Engineering FREE:Human Geography FREE:Applied Dynamical Systems FREE:Mechanical Engineering FREE:Applications of Mathematics FREE:Regional and Spatial Economics
一般注記	This book contains selected papers from the presentations given at the 7th EURO-Working Group Meeting on 'Iransportation, which took place at the Helsinki University of Technology (HUT), Finland, during August 2-4, 1999. Altogether 31 presentations were given and 14 full papers have been selected in this publication through a peer review process coordinated by the editors. The papers in this book cover a wide range of transportation problems from the simulation of railway traffic to optimum congestion tolling and mode choice modeling with stated preference data. In general, the variety of papers clearly demonstrates the wide areas of interest of people who are involved in the research of transportation systems and their operation. They as well demonstrate the importance and possibilities of modeling and theoretical approaches in the analysis of transportation systems and problem solving. Most of the papers are purely theoretical in nature, that is, they present a theoretical model with only a hypothetical example of applica­ tion. There are, however, some papers, which are closer to the practice or describe applications of and give interesting results of studies made by known methodologies. It is especially noteworthy, that half of the accepted papers deal with planning and operation of public transport HTTP:URL=https://doi.org/10.1007/978-1-4757-3357-0

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