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Computation and big data for transport: digital innovations in surface and air transport systems

Type of activity
Book
Publisher
Springer
Date of publication
2020-02-28
ISBN
978-3-030-37751-9 Open in new window
DOI
10.1007/978-3-030-37752-6
URL
https://link.springer.com/book/10.1007/978-3-030-37752-6 Open in new window
Abstract
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 ai...
Keywords
AI assisted optimization, Big Data for Logistics modeling and simulation optimization and control, Big data challenges, Big data in Aeronautics, Big data in Automotive, ECCOMAS, Ship design and navigation, Transport Challenges
Group of research
GMNE - Numerical Methods in Engineering Group
LACÀN - Numerical Methods for Applied Sciences and Engineering

Participants

  • Diez, Pedro  (editor)
  • Neittaanmäki, Pekka  (editor)
  • Periaux, Jacques Francis  (editor)
  • Tuovinen, Tero  (editor)
  • Pons Prats, Jordi  (editor)