Software Defined Vehicles: Transforming the Automotive Industry

Software-Defined Vehicles (SDVs) represent a paradigm shift in the automotive industry, where the vehicle's functionality and features are increasingly controlled by software rather than hardware. SDVs integrate advanced computing platforms, communication networks, and real-time data processing to enable a range of capabilities such as autonomous driving, over-the-air updates, and personalized user experiences. The evolution of SDVs is driven by the growing importance of software in vehicle design, allowing for greater flexibility, scalability, and efficiency. Key components of SDVs include in-vehicle connectivity, cloud computing, AI algorithms, and cybersecurity measures. As SDVs continue to gain momentum, they promise to redefine transportation ecosystems, improve safety, and unlock new business models, such as mobility-as-a-service. This paper explores the growing importance of software define vehicles architecture and its Challenges and Considerations.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-01-27
DOI
https://doi.org/10.21275/sr25125001736
Primary Topic
Model-Driven Software Engineering Techniques
Type
article
Field-Weighted Citation Impact
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article

Software Defined Vehicles: Transforming the Automotive Industry

G. Murugan, R. Vijaya Arjunan
1 links
International Journal of Science and Research (IJSR)
Model-Driven Software Engineering Techniques
article

Software Defined Vehicles: Transforming the Automotive Industry

G. Murugan, R. Vijaya Arjunan
article en

Abstract

Software-Defined Vehicles (SDVs) represent a paradigm shift in the automotive industry, where the vehicle's functionality and features are increasingly controlled by software rather than hardware. SDVs integrate advanced computing platforms, communication networks, and real-time data processing to enable a range of capabilities such as autonomous driving, over-the-air updates, and personalized user experiences. The evolution of SDVs is driven by the growing importance of software in vehicle design, allowing for greater flexibility, scalability, and efficiency. Key components of SDVs include in-vehicle connectivity, cloud computing, AI algorithms, and cybersecurity measures. As SDVs continue to gain momentum, they promise to redefine transportation ecosystems, improve safety, and unlock new business models, such as mobility-as-a-service. This paper explores the growing importance of software define vehicles architecture and its Challenges and Considerations.

International Journal of Science and Research (IJSR)Vol. 14(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 98%
Model-Driven Software Engineering Techniques
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Software Defined Vehicles: Transforming the Automotive Industry — G. Murugan, R. Vijaya Arjunan · International Journal of Science and Research (IJSR) (2025) | TGRS Research Map | TGRS