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Computation and Big Data for Transport [[electronic resource] ] : Digital Innovations in Surface and Air Transport Systems / / edited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Jordi Pons-Prats
Computation and Big Data for Transport [[electronic resource] ] : Digital Innovations in Surface and Air Transport Systems / / edited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Jordi Pons-Prats
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIV, 249 p. 87 illus., 70 illus. in color.)
Disciplina 385.0724
Collana Computational Methods in Applied Sciences
Soggetto topico Transportation
Transportation engineering
Traffic engineering
Computer mathematics
Computer simulation
Aerospace engineering
Astronautics
Big data
Transportation Technology and Traffic Engineering
Computational Science and Engineering
Simulation and Modeling
Aerospace Technology and Astronautics
Big Data
ISBN 3-030-37752-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 Rubén Ibañez -- 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 Martínez-López 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.
Record Nr. UNINA-9910377819903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Methods and Models for Transport [[electronic resource] ] : New Challenges for the Greening of Transport Systems / / edited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Olli Bräysy
Computational Methods and Models for Transport [[electronic resource] ] : New Challenges for the Greening of Transport Systems / / edited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Olli Bräysy
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (257 pages) : illustrations
Disciplina 380.50184
Collana Computational Methods in Applied Sciences
Soggetto topico Transportation
Transportation engineering
Traffic engineering
Computer mathematics
Computer simulation
Aerospace engineering
Astronautics
Transportation Technology and Traffic Engineering
Computational Science and Engineering
Simulation and Modeling
Aerospace Technology and Astronautics
ISBN 3-319-54490-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Foreword -- Part I Reviews and perspectives -- 1 The Revolutionary Internet of Things , by Arian Razmi Farooji -- 2 A Computational Modeler’s Tour of the Port of Houston, by Niels Aalund, William Fitzgibbon -- 3 Agile deep learning UAVs operating in Smart Spaces: Collective Intelligence vs. ”Mission-Impossible”, by Michael Cochez, Jacques Periaux, Vagan Terziyan, Tero Tuovinen -- Part II Computational Methods and Models -- 4 A Simple Metaheuristic for the Fleet Size and Mix Problem with Time Windows, by Olli Bräysy, Wout Dullaert, Pasi P. Porkka -- 5 Green Route Allocation in a Transportation Network, by Victor Zakharov, Alexander Krylatov, Dmitriy Volf -- 6 Why to Climb if One Can Jump: A Hill Jumping Algorithm for the Vehicle Routing Problem with Time Windows, by David Mester, Olli Bräysy, Wout Dullaert -- 7 Clustering Driving Destinations Using a Modified DBSCAN Algorithm with Locally-defined Map-Based Thresholds, by Ghazaleh Panahandeh, Niklas Åkerblom -- 8 Automatic Customization Framework for Efficient Vehicle Routing System Deployment, by Jussi Rasku, Tuukka Puranen, Antoine Kalmbach, Tommi Kärkkäinen4 -- 9 The Multi-period Fleet Size and Mix Vehicle Routing Problem with Stochastic Demands, by Urooj Pasha, Arild Hoff, Lars Magnus Hvattum -- 10 Applying multi-objective robust design optimization procedure to the route planning of a commercial aircraft, by Jordi Pons-Prats, Gabriel Bugeda, Francisco Zarate, Eugenio Oñate, Jacques Periaux -- Part III Translational research -- 11 Reallocation of Logistics Costs in a Cooperative Network of Sawmills, by Patrik Flisberg, Mikael Frisk, Mario Guajardo, Mikael Rönnqvist -- 12 Impact of the Heterogeneity of the Ballast on the Dynamical Behavior of the Ballast-soil, by Lucio De Abreu Correa, Regis Cottereau, Estelle Bongini, Sofia Costa d’Aguiar, Baldrik Faure and Charles Voivret -- 13 Numerical and Parametric Study of MVGs on a UAV Geometry in Subsonic Flow, by Miguel Chavez, Oliver. M. F. Browne, Eusebio Valero -- 14 Investigating Side-wind Stability of High Speed Trains using High Resolution Large Eddy Simulations and Hybrid Models, by Moritz M. Fragner, Ralf Deiterding -- 15 Russian Mechanism to Support Renewable Energy Investments: Before and After Analysis, by Mariia Kozlova, Mikael Collan, Pasi Luukka.
Record Nr. UNINA-9910299917003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui