Overview
- Recent research in Intelligent Transportation Systems
- Focuses on the design problems of urban Intelligent Transportation Systems
- Features case studies representative for the different modes of transport
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 32)
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Table of contents (8 chapters)
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Deployment of ITS in Road Transport
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ITS Case Studies
Keywords
About this book
This book presents a discussion of problems encountered in the deployment of Intelligent Transport Systems (ITS). It puts emphasis on the early tasks of designing and proofing the concept of integration of technologies in Intelligent Transport Systems. In its first part the book concentrates on the design problems of urban ITS. The second part of the book features case studies representative for the different modes of transport. These are freight transport, rail transport and aerospace transport encompassing also space stations. The book provides ideas for deployment which may be developed by scientists and engineers engaged in the design of Intelligent Transport Systems. It can also be used in the training of specialists, students and post-graduate students in universities and transport high schools.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Transportation Systems – Problems and Perspectives
Editors: Aleksander Sładkowski, Wiesław Pamuła
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-19150-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-19149-2Published: 09 July 2015
Softcover ISBN: 978-3-319-37025-5Published: 15 October 2016
eBook ISBN: 978-3-319-19150-8Published: 24 June 2015
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: IX, 303
Number of Illustrations: 113 b/w illustrations
Topics: Computational Intelligence, Geoengineering, Foundations, Hydraulics, Artificial Intelligence, Transportation