04462nam a22005895i 4500 978-3-031-59963-7 DE-He213 20251030112620.0 cr nn 008mamaa 240709s2024 sz | s |||| 0|eng d 9783031599637 978-3-031-59963-7 10.1007/978-3-031-59963-7 doi QA76.76.I58 UYQ bicssc COM004000 bisacsh UYQ thema Lu, Sidi. author. aut http://id.loc.gov/vocabulary/relators/aut 80246 Vehicle Computing [electronic resource] : From Traditional Transportation to Computing on Wheels / by Sidi Lu, Weisong Shi. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 242 p. 38 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 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. Over 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. Multiagent systems. Cooperating objects (Computer systems). 64303 Vehicles. 66337 Transportation engineering. 65686 Traffic engineering. 65687 Machine learning. 55059 Multiagent Systems. Cyber-Physical Systems. 65638 Vehicle Engineering. 66340 Transportation Technology and Traffic Engineering. 65691 Machine Learning. 55059 Shi, Weisong. author. aut http://id.loc.gov/vocabulary/relators/aut 80247 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031599620 Printed edition: 9783031599644 Printed edition: 9783031599651 https://doi.org/10.1007/978-3-031-59963-7 ZDB-2-SCS ZDB-2-SXCS 61452 61452