Vehicle Computing From Traditional Transportation to Computing on Wheels /
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 a...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edisyon: | 1st ed. 2024. |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/978-3-031-59963-7 |
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| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-59963-7 | ||
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| 024 | 7 | |a 10.1007/978-3-031-59963-7 |2 doi | |
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| 100 | 1 | |a Lu, Sidi. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Vehicle Computing |h [electronic resource] : |b From Traditional Transportation to Computing on Wheels / |c by Sidi Lu, Weisong Shi. |
| 250 | |a 1st ed. 2024. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2024. | |
| 300 | |a 1 online resource (X, 242 p. 38 illus.). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of color is not sole means of conveying information |2 onix | |
| 341 | 0 | |b Use of high contrast between text and background color |2 onix | |
| 341 | 0 | |b Next / Previous structural navigation |2 onix | |
| 341 | 0 | |b All non-decorative content supports reading without sight |2 onix | |
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Multiagent systems. | |
| 650 | 0 | |a Cooperating objects (Computer systems). | |
| 650 | 0 | |a Vehicles. | |
| 650 | 0 | |a Transportation engineering. | |
| 650 | 0 | |a Traffic engineering. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 1 | 4 | |a Multiagent Systems. |
| 650 | 2 | 4 | |a Cyber-Physical Systems. |
| 650 | 2 | 4 | |a Vehicle Engineering. |
| 650 | 2 | 4 | |a Transportation Technology and Traffic Engineering. |
| 650 | 2 | 4 | |a Machine Learning. |
| 700 | 1 | |a Shi, Weisong. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
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| 776 | 0 | 8 | |i Printed edition: |z 9783031599620 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031599644 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031599651 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-59963-7 |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||