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Computation and big data for transpo...

Diez, Pedro.

Computation and big data for transportdigital innovations in surface and air transport systems /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computation and big data for transportedited by Pedro Diez ... [et al.].
其他題名:	digital innovations in surface and air transport systems /
其他作者:	Diez, Pedro.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xiv, 250 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	TransportationData processing.
電子資源:	https://doi.org/10.1007/978-3-030-37752-6
ISBN:	9783030377526$q(electronic bk.)

Computation and big data for transportdigital innovations in surface and air transport systems /
Computation and big data for transportdigital innovations in surface and air transport systems /[electronic resource] :edited by Pedro Diez ... [et al.]. - Cham :Springer International Publishing :2020. - xiv, 250 p. :ill., digital ;24 cm. - Computational methods in applied sciences,v.541871-3033 ;. - Computational methods in applied sciences ;v.9..

Preliminary Table of Contents: Reviews and perspectives -- White paper: Computational models for the model shift: a State of the art review, by Sara Ahetze Puignau, Jordi Pons-Prats, Sergi Sauri -- Part 1. Maritime -- Shipping 4.0 - Digitalization of maritime industry, by Trond Kvamsdal -- Challenges on computational models for ship design and navigation: Ongoing projects at CIMNE, by Julio Garcia -- Fast Simulation-Assisted Shape Correction after Machining, by Ramiro Mena -- Part 2. Automotive -- Design optimization challenges and opportunities for mobility applications, by Carlo Poloni -- PGD for interactive aerodynamic optimization, by Vasilis Tsiolakis and Henry Bensler -- Parametric wave progation for radar simulation, by Ruben Ibanez -- Application of Big Data Analytics for Understanding the Complexity of Vehicle Routing Problems, by Jussi Rasku and Tommi Karkkainen -- Part 3. Logistics -- Transport management with LogiApps: Maximizing efficiency with optimization and simplicity, by Jyri Leskinen, Panu Silvasti, and Jukka Toivanen -- Optimization of fleets and their Propulsive alternatives by operating under Motorways of the Sea conditions to Improve their Environmental Results and the Feasibility of the intermodal chains, by Alba Martinez-Lopez and Lourdes Trujillo -- Part 4. Aeronautics -- Public Health Concerns Regarding Modern Transportation, by William E. Fitzgibbon -- Aircraft Multidisciplinary Design chain Opportunities and Transport Challenges, by Adel Abbas -- Part 5. White paper: Computation and Big Data Challenges and perspectives for Transport.

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.

ISBN: 9783030377526$q(electronic bk.)

Standard No.: 10.1007/978-3-030-37752-6doiSubjects--Topical Terms:

618526
Transportation
--Data processing.

LC Class. No.: HE147.6 / .C667 2020

Dewey Class. No.: 380.285

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