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Computation and Big Data for Transport : Digital Innovations in Surface and Air Transport Systems (2020)


Diez, Pedro; Neittaanmäki, Pekka; Periaux, Jacques; Tuovinen, Tero; Pons-Prats, Jordi (2020). Computation and Big Data for Transport : Digital Innovations in Surface and Air Transport Systems. Computational Methods in Applied Sciences, 54. Cham: Springer. DOI: 10.1007/978-3-030-37752-6


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Diez, Pedro; Neittaanmäki, Pekka; Periaux, Jacques; Tuovinen, Tero; Pons-Prats, Jordi

ISBN: 978-3-030-37751-9

eISBN: 978-3-030-37752-6

Lehti tai sarja: Computational Methods in Applied Sciences

ISSN: 1871-3033

Julkaisuvuosi: 2020

Sarjan numero: 54

Kirjan kokonaissivumäärä: 250

Kustantaja: Springer

Kustannuspaikka: Cham

Julkaisumaa: Sveitsi

Julkaisun kieli: englanti

DOI: https://doi.org/10.1007/978-3-030-37752-6

Avoin saatavuus: Julkaisukanava ei ole avoin


Tiivistelmä

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.


YSO-asiasanat: big data; mallintaminen; simulointi; optimointi; hallintajärjestelmät; logistiikka; kuljetus; kuljetustekniikka

Vapaat asiasanat: 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; transport challenges


Liittyvät organisaatiot


OKM-raportointi: Kyllä

Raportointivuosi: 2020

Alustava JUFO-taso: 0


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Viimeisin päivitys 2020-09-07 klo 23:12