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001 978-3-031-59963-7
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007 cr nn 008mamaa
008 240709s2024 sz | s |||| 0|eng d
020 _a9783031599637
_9978-3-031-59963-7
024 7 _a10.1007/978-3-031-59963-7
_2doi
050 4 _aQA76.76.I58
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
100 1 _aLu, Sidi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980246
245 1 0 _aVehicle Computing
_h[electronic resource] :
_bFrom Traditional Transportation to Computing on Wheels /
_cby Sidi Lu, Weisong Shi.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aX, 242 p. 38 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aChapter 1: Introduction to Vehicle Computing -- Chapter 2: Mobile Computation in Connected Vehicles -- Chapter 3: Vehicular Communication and Networking Technologies -- Chapter 4: Sensing and Data Acquisition Techniques -- Chapter 5: Energy Management, Efficiency, and Delivery -- Chapter 6: Programming Interfaces for Vehicle Computing -- Chapter 7: Teleoperation in Vehicle Computing -- Chapter 8: Testing for Vehicle Computing.
520 _aOver the past century, vehicles have predominantly functioned as a means of transportation. However, as vehicular computation and communication capacities continue to expand, it is anticipated that upcoming connected vehicle (CVs) will not only serve their conventional transport functions but also act as versatile mobile computing platforms. This book presents the concept of Vehicle Computing, encompassing five primary functionalities of CVs: computation, communication, energy management, sensing, and data storage. It proposes a potential business model and explores the challenges and opportunities associated with these domains. Vehicle Computing serves as an important resource for the research community and practitioners in the field of edge computing and cyber physical system, capturing the essence of a rapidly changing industry, addressing the challenges and opportunities associated with connected vehicles, (including software-defined vehicles, autonomous vehicles, electric vehicles) machine learning, communication, sensing, data storage, energy management, and computer systems. It synthesizes the latest research and real-world applications, offering valuable insights to both academia and industry professionals. Vehicle Computing covers topics such as: The fundamentals of Vehicle Computing, including its historical context and key components. Advanced communication and networking technologies for connected vehicles. Sensing and data acquisition techniques, including edge and cloud computing integration. Energy management and storage, focusing on electric vehicle infrastructure and vehicle-to-grid. Data storage and processing strategies for vehicular environments. <Business models, opportunities, and challenges associated with Vehicle Computing. Real-world applications and case studies, highlighting best practices and future trends.
650 0 _aMultiagent systems.
650 0 _aCooperating objects (Computer systems).
_964303
650 0 _aVehicles.
_966337
650 0 _aTransportation engineering.
_965686
650 0 _aTraffic engineering.
_965687
650 0 _aMachine learning.
_955059
650 1 4 _aMultiagent Systems.
650 2 4 _aCyber-Physical Systems.
_965638
650 2 4 _aVehicle Engineering.
_966340
650 2 4 _aTransportation Technology and Traffic Engineering.
_965691
650 2 4 _aMachine Learning.
_955059
700 1 _aShi, Weisong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980247
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031599620
776 0 8 _iPrinted edition:
_z9783031599644
776 0 8 _iPrinted edition:
_z9783031599651
856 4 0 _uhttps://doi.org/10.1007/978-3-031-59963-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
999 _c61452
_d61452