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020 _a9783030920548
024 7 _a10.1007/978-3-030-92054-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTE228.3
_b2022 EB
245 0 0 _aIntelligent Cyber-Physical Systems for Autonomous Transportation
_cedited by Sahil Garg, Gagangeet Singh Aujla, Kuljeet Kaur, Syed Hassan Ahmed Shah
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publising
_c2022
300 _a1 recurso en línea (XV, 288 páginas)
_b111 ilustraciones, 100 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aInternet of Things Technology Communications and Computing
_x2199-1081
505 0 _aPart I Overview of Transportation Systems -- Transportation Systems -- Future Autonomous Transportation - Challenges and Prospective dimensions -- Part II Artificial Intelligence -- Artificial Intelligence -- Artificial Intelligence: Evolution, Benefits and Challenges -- Artificial Intelligence - Need, Evolution and Applications for Transportation Systems -- Artificial Intelligence Deployment in Transportation Systems -- Part III Cyber-Physical Systems -- Cyber-Physical Systems: Historical Evolution and Role in Future Autonomous Transportation -- Cyber Physical Systems in Transportation -- Part IV Application Use Cases of Autonomous Transportation Systems -- "Correlation between Traffic Lights and Emergency Vehicles in Intelligent Transportation System" -- Use Case for Underwater Transportation -- Advanced Signal Processing for Autonomous Transportation Big Data -- Deep neural network based prediction of high-speed train induced subway track vibration -- Advanced Complex Data Analysis of Autonomous Transportation for Smart City Industrial Environment -- A Meta Sensor Based Autonomous Vehicle Safety System for Collision Avoidance using Li-Fi Technology -- Part V Security Perspective in Intelligent Transportation Systems -- Secure Information Transmission in Intelligent Transportation Systems using Blockchain Technique -- "Privacy-preserved Mobile Crowdsensing for Intelligent Transportation Systems".
520 _aThis book provides comprehensive discussion on key topics related to the usage and deployment of AI in urban transportation systems including drones. The book presents intelligent solutions to overcome the challenges of static approaches in the transportation sector to make them intelligent, adaptive, agile, and flexible. The book showcases different AI-deployment models, algorithms, and implementations related to intelligent cyber physical systems (CPS) along with their pros and cons. Even more, this book provides deep insights into the CPS specifically about the layered architecture and different planes, interfaces, and programmable network operations. The deployment models for AI-based CPS are also included with an aim towards the design of interoperable and intelligent CPS architectures by researchers in future. The authors present hands on practical implementations, deployment scenarios, and use cases related to different transportation scenarios. In the end, the design and research challenges, open issues, and future research directions are provided. Presents application use cases of AI-based cyber physical systems (CPS) in urban transportation; Includes practical models, algorithms and implementations for AI solutions; Includes detailed implementation of intelligent algorithms along with evaluation results.
988 _aSpringer_Computer_2022
650 7 _2embne
_9405815
_aSistemas inteligentes de transporte
650 7 _2embne
_9140345
_aTransportes urbanos
700 1 _aGarg, Sahil
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAujla, Gagangeet Singh
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKaur, Kuljeet
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHassan Ahmed Shah, Syed
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030920531
776 0 8 _iPrinted edition:
_z9783030920555
776 0 8 _iPrinted edition:
_z9783030920562
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-92054-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b11/2022
_dz
_eIG
_zSI