© 2020

Computation and Big Data for Transport

Digital Innovations in Surface and Air Transport Systems

  • Pedro Diez
  • Pekka Neittaanmäki
  • Jacques Periaux
  • Tero Tuovinen
  • Jordi Pons-Prats

Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 54)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. White Paper

    1. Front Matter
      Pages 1-1
    2. Pedro Diez, Jacques Periaux, Tero Tuovinen, Jaana Räisänen, Martti Lehto, Adel Abbas et al.
      Pages 3-16
  3. Reviews and Perspectives

    1. Front Matter
      Pages 17-17
    2. Sara A. Puignau Arrigain, Jordi Pons-Prats, Sergi Saurí Marchán
      Pages 51-67
    3. William Fitzgibbon, Jeffrey Morgan, Glenn Webb, Yixiang Wu
      Pages 69-73
  4. Computational Methods and Applications

    1. Front Matter
      Pages 75-75
    2. Julio García-Espinosa, Eugenio Oñate, Borja Serván Camas, Miguel Angel Celigueta, Salva Latorre, Jonathan Colom-Cobb
      Pages 121-153
    3. Victor Zakharov, Alexander Krylatov, Alexander Mugayskikh
      Pages 155-165
  5. Translational Research

    1. Front Matter
      Pages 167-167
    2. Vasileios Tsiolakis, Henry P. Bensler
      Pages 169-179
    3. Alba Martínez-López, Trujillo Lourdes, Chica González Manuel
      Pages 181-193
    4. Rubén Ibáñez Pinillo, Francisco Chinesta, Emmanuelle Abisset-Chavanne, Erik Abenius, Antonio Huerta
      Pages 195-211
    5. Taina Hakala, Ilkka Pölönen, Eija Honkavaara, Roope Näsi, Teemu Hakala, Antti Lindfors
      Pages 213-238
    6. Ramiro Mena, Stéphane Guinard, José V. Aguado, Antonio Huerta
      Pages 239-250

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 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.


Big Data in Aeronautics Big Data in Automotive Big Data for Logistics Modeling and simulation optimization and control AI assisted optimization ECCOMAS Ship design and navigation Big data challenges CM3 conference sereies Transport Challenges

Editors and affiliations

  • Pedro Diez
    • 1
  • Pekka Neittaanmäki
    • 2
  • Jacques Periaux
    • 3
  • Tero Tuovinen
    • 4
  • Jordi Pons-Prats
    • 5
  1. 1.International Center for Numerical Methods in Engineering, CIMNEUniversidad Politecnica CatalunyaBarcelonaSpain
  2. 2.Faculty of Information TechnologyUniversity of JyväskyläJyväskyläFinland
  3. 3.International Center for Numerical Methods in Engineering, CIMNEUniversitat Politècnica de CatalunyBarcelonaSpain
  4. 4.Faculty of Information TechnologyUniversity of JyväskyläJyväskyläFinland
  5. 5.International Center for Numerical Methods in Engineering, CIMNEUniversidad Politecnica CatalunyaBarcelonaSpain

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