## 10 Conclusions  
The authors proposed a methodology to map the elements and focus areas of V2X technology in the scope of the automated driving, connecting the requirements to the functionalities of the highly automated driving system. The use case of the automated valet parking was presented as an application of the technology, where the mapping of the crucial aspects of the automated driving use case to the functionalities of the LoA 4 system were systematically reviewed, collected and summarized. The application of such methodology may provide an input for industrial design and production of the automated vehicles relying on V2X technology, adhering to the strict automated driving design and implementation standards of the automotive industry. Literature research showed that while numerous works have discussed the current challenges and opportunities of the V2X technology itself, the domain of the applicability and methodical design of automated driving systems incorporating V2X technology has remained largely unexplored, indicating a significant gap in the existing body of literature. This study contributes novel insights into this relatively unaddressed area, providing special focus on the practical implementation and design considerations of automated driving systems leveraging V2X technology. It was also shown that while sustainability, scalability, cyber-security and interoperability were arguably the key factors in the standalone development of V2X technology for the future of autonomy, automotive production standards and safety integration levels require a systematic process to system design, approaching key V2X fields from the point of view of the driving function realized on the vehicle, based on its level of autonomy. Our future work includes the exploration of several important aspects to further advance the field of V2X communication. Possible directions include the development of standardized communication protocols and infrastructure requirements to ensure seamless interoperability among different V2X-enabled vehicles and infrastructure. Additionally, the integration of advanced machine learning and artificial intelligence techniques offers vast possibilities to enhance the performance and decision-making capabilities of V2X-enabled automated systems. The cyber-security challenges of the near future also require robust solutions to protect V2X communication from potential security threats, while exploring the social and legal implications of widespread V2X implementation, including ethical considerations, privacy concerns, and regulatory framework. All these directions provide a wide spectrum of research topics that can benefit from the foundations of this paper. Conceptualization, A.T. and T.H. ; methodology, T.H. ; formal analysis, A.T.; resources, A.T. and T.H. ; writing--original draft preparation, A.T.; writing--review and editing, A.T. and T.H. All authors have read and agreed to the published version of the manuscript. [PERSON] is a Consolidator Researcher, supported by the Distinguished Researcher program of Obuda University. The work presented forms part of the Sustainable Robotics initiative ([[https://www.sustainablebrologics.org/](https://www.sustainablebrologics.org/)]([https://www.sustainablebrologics.org/](https://www.sustainablebrologics.org/))) (accessed on 24 February 2024). The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author. The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. The following abbreviations are used in this manuscript: