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Computation and Big Data for Transport: Digital Innovations in Surface and Air Transport Systems (Computational Methods in Applied Sciences) - Softcover

 
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ISBN 10:  3030377512 ISBN 13:  9783030377519
Publisher: Springer, 2020
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Published by Springer, 2021
ISBN 10: 3030377547 ISBN 13: 9783030377540
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Published by Springer, 2021
ISBN 10: 3030377547 ISBN 13: 9783030377540
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ISBN 10: 3030377547 ISBN 13: 9783030377540
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gathers the outcomes of the second ECCOMAS CM3 Conference series on transport&nbspAddresses the main challenges and opportunities in computation and big data for transport and mobility&nbspIncludes two white papersGathers the o. Seller Inventory # 448680740

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ISBN 10: 3030377547 ISBN 13: 9783030377540
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields. Through a series of plenary lectures and mini-forums with lectures followed by question-and-answer sessions, the conference explored potential solutions and innovations to improve transport and mobility in surface and air applications.The book seeks to answer the question of how computational research in transport can provide innovative solutions to Green Transportation challenges identified in the ambitious Horizon 2020 program. In particular, the respective papers present the state of the art in transport modeling, simulation and optimization in the fields of maritime, aeronautics, automotive and logistics research. In addition, the content includes two white papers on transport challenges andprospects.Given its scope, the book will be of interest to students, researchers, engineers and practitioners whose work involves the implementation of Intelligent Transport Systems (ITS) software for the optimal use of roads, including safety and security, traffic and travel data, surface and air traffic management, and freight logistics. 264 pp. Englisch. Seller Inventory # 9783030377540

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Pedro Diez
ISBN 10: 3030377547 ISBN 13: 9783030377540
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields. Through a series of plenary lectures and mini-forums with lectures followed by question-and-answer sessions, the conference explored potential solutions and innovations to improve transport and mobility in surface and air applications.The book seeks to answer the question of how computational research in transport can provide innovative solutions to Green Transportation challenges identified in the ambitious Horizon 2020 program. In particular, the respective papers present the state of the art in transport modeling, simulation and optimization in the fields of maritime, aeronautics, automotive and logistics research. In addition, the content includes two white papers on transport challenges andprospects.Given its scope, the book will be of interest to students, researchers, engineers and practitioners whose work involves the implementation of Intelligent Transport Systems (ITS) software for the optimal use of roads, including safety and security, traffic and travel data, surface and air traffic management, and freight logistics. Seller Inventory # 9783030377540

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Diez, Pedro (Editor)/ Neittaanmaki, Pekka (Editor)/ Periaux, Jacques (Editor)/ Tuovinen, Tero (Editor)/ Pons-prats, Jordi (Editor)
Published by Springer Nature, 2021
ISBN 10: 3030377547 ISBN 13: 9783030377540
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Paperback. Condition: Brand New. 264 pages. 9.25x6.10x0.62 inches. In Stock. Seller Inventory # x-3030377547

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Published by Springer, 2021
ISBN 10: 3030377547 ISBN 13: 9783030377540
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