Abstract
As a working combination of smart vehicles, advanced communication infrastructures, and intelligent transportation units, the Internet of Vehicles (IoV) has emerged as a new paradigm for safe and efficient urban life in the future. However, various types of smart vehicles with distinct capacities, diverse IoV applications with different resource demands, and unpredictive vehicular topology pose significant challenges to fully realize IoV systems. To cope with these challenges, we leverage digital twin (DT) technology to model complex physical IoV systems in virtual space, to identify the relation between application characteristics and IoV services, which facilitates effective service scheduling and resource management. In this chapter, we discuss the motivation, benefits, and key issues of applying DT in IoV systems. Then, we use vehicular edge computing and caching as two typical IoV application scenarios to present DT-empowered task offloading and content caching scheduling schemes and their performance.
Chapter PDF
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Copyright information
© 2024 The Author(s)
About this chapter
Cite this chapter
Zhang, Y. (2024). Digital Twin for the Internet of Vehicles. In: Digital Twin. Simula SpringerBriefs on Computing, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-031-51819-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-031-51819-5_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-51818-8
Online ISBN: 978-3-031-51819-5
eBook Packages: EngineeringEngineering (R0)