LEADER 05793nam 22007815 450 001 9910377819903321 005 20251113191944.0 010 $a3-030-37752-0 024 7 $a10.1007/978-3-030-37752-6 035 $a(CKB)4100000010480298 035 $a(DE-He213)978-3-030-37752-6 035 $a(MiAaPQ)EBC6126707 035 $a(PPN)242979440 035 $a(MiAaPQ)EBC6126397 035 $a(EXLCZ)994100000010480298 100 $a20200228d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputation and Big Data for Transport $eDigital Innovations in Surface and Air Transport Systems /$fedited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Jordi Pons-Prats 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XIV, 249 p. 87 illus., 70 illus. in color.) 225 1 $aComputational Methods in Applied Sciences,$x2543-0203 ;$v54 311 08$a3-030-37751-2 320 $aIncludes bibliographical references. 327 $aPreliminary 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. 330 $aThis book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields. Through a series of plenary lectures and mini-forums with lectures followed by question-and-answer sessions, the conference explored potential solutions and innovations to improve transport and mobility in surface and air applications. The book seeks to answer the question of how computational research in transport can provide innovative solutions to Green Transportation challenges identified in the ambitious Horizon 2020 program. In particular, the respective papers present the state of the art in transport modeling, simulation and optimization in the fields of maritime, aeronautics, automotive and logistics research. In addition, the content includes two white papers on transport challenges andprospects. Given its scope, the book will be of interest to students, researchers, engineers and practitioners whose work involves the implementation of Intelligent Transport Systems (ITS) software for the optimal use of roads, including safety and security, traffic and travel data, surface and air traffic management, and freight logistics. 410 0$aComputational Methods in Applied Sciences,$x2543-0203 ;$v54 606 $aTransportation engineering 606 $aTraffic engineering 606 $aMathematics$xData processing 606 $aComputer simulation 606 $aAerospace engineering 606 $aAstronautics 606 $aBig data 606 $aTransportation Technology and Traffic Engineering 606 $aComputational Science and Engineering 606 $aComputer Modelling 606 $aAerospace Technology and Astronautics 606 $aBig Data 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 0$aMathematics$xData processing. 615 0$aComputer simulation. 615 0$aAerospace engineering. 615 0$aAstronautics. 615 0$aBig data. 615 14$aTransportation Technology and Traffic Engineering. 615 24$aComputational Science and Engineering. 615 24$aComputer Modelling. 615 24$aAerospace Technology and Astronautics. 615 24$aBig Data. 676 $a385.0724 702 $aDiez$b Pedro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNeittaanmäki$b Pekka$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPeriaux$b Jacques$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTuovinen$b Tero$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPons-Prats$b Jordi$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910377819903321 996 $aComputation and Big Data for Transport$92040912 997 $aUNINA