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Mathematical Methods on Optimization in Transportation Systems / edited by M. Pursula, Jarko Niittymäki
(Applied Optimization ; 48)

Edition 1st ed. 2001.
Publisher (New York, NY : Springer US : Imprint: Springer)
Year 2001
Language English
Size VII, 247 p : online resource
Authors Pursula, M editor
Niittymäki, Jarko editor
SpringerLink (Online service)
Subjects 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
Notes 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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DC23:624
ID 4000106940
ISBN 9781475733570

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