Overview
- Gathers the outcomes of the second ECCOMAS CM3 Conference series on transport
- Addresses the main challenges and opportunities in computation and big data for transport and mobility
- Includes two white papers
Part of the book series: Computational Methods in Applied Sciences (COMPUTMETHODS, volume 54)
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Table of contents (14 chapters)
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Front Matter
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White Paper
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Front Matter
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Reviews and Perspectives
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Front Matter
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Computational Methods and Applications
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Front Matter
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Translational Research
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Front Matter
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Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Computation and Big Data for Transport
Book Subtitle: Digital Innovations in Surface and Air Transport Systems
Editors: Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Jordi Pons-Prats
Series Title: Computational Methods in Applied Sciences
DOI: https://doi.org/10.1007/978-3-030-37752-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-37751-9Published: 29 February 2020
Softcover ISBN: 978-3-030-37754-0Published: 28 February 2021
eBook ISBN: 978-3-030-37752-6Published: 28 February 2020
Series ISSN: 1871-3033
Series E-ISSN: 2543-0203
Edition Number: 1
Number of Pages: XIV, 250
Number of Illustrations: 18 b/w illustrations, 70 illustrations in colour
Topics: Transportation, Transportation Technology and Traffic Engineering, Computational Science and Engineering, Simulation and Modeling, Aerospace Technology and Astronautics, Big Data