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Computation and Big Data for Transport - Digital Innovations in Surface and Air Transport Systems (Hardcover, 1st ed. 2020) Loot Price: R4,258
Discovery Miles 42 580
Computation and Big Data for Transport - Digital Innovations in Surface and Air Transport Systems (Hardcover, 1st ed. 2020):...

Computation and Big Data for Transport - Digital Innovations in Surface and Air Transport Systems (Hardcover, 1st ed. 2020)

Pedro Diez, Pekka Neittaanmaki, Jacques Periaux, Tero Tuovinen, Jordi Pons-Prats

Series: Computational Methods in Applied Sciences, 54

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Loot Price R4,258 Discovery Miles 42 580 | Repayment Terms: R399 pm x 12*

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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 and prospects. 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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Computational Methods in Applied Sciences, 54
Release date: March 2020
First published: 2020
Editors: Pedro Diez • Pekka Neittaanmaki • Jacques Periaux • Tero Tuovinen • Jordi Pons-Prats
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 250
Edition: 1st ed. 2020
ISBN-13: 978-3-03-037751-9
Categories: Books > Professional & Technical > Civil engineering, surveying & building > Highway & traffic engineering
Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution
Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General
Books > Professional & Technical > Other technologies > Space science > Astronautics
Books > Computing & IT > Applications of computing > Databases > General
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LSN: 3-03-037751-2
Barcode: 9783030377519

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