Safety Challenges for Autonomous Vehicles in the Absence of Connectivity

Spandana Sagam

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2024, vol. 10, issue 5, 355-362

Abstract: This article examines the critical safety challenges faced by autonomous vehicles (AVs) operating in environments without connectivity. As the global AV market expands rapidly, the disparity in Vehicle-to-Everything (V2X) infrastructure implementation across regions necessitates AVs to function safely in both connected and non-connected scenarios. The article explores five key areas of concern: limited real-time information access, absence of cooperative driving capabilities, lack of remote software updates, reduced traffic ecosystem support, and increased vulnerability to cybersecurity threats. By analyzing data from various transportation studies and industry reports, the article highlights the significant impact of these challenges on AV performance, efficiency, and safety. The research underscores the importance of developing robust, adaptable systems that can operate effectively in diverse connectivity environments, emphasizing the need for advanced onboard sensors, sophisticated AI algorithms, and enhanced traffic management strategies to mitigate the risks associated with non-connected autonomous driving.

Keywords: Autonomous Vehicles; Vehicle-to-Everything; Communication; Connectivity Challenges; Traffic Management Systems; Cybersecurity in AVs (search for similar items in EconPapers)
Date: 2024
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT241051033
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/home/article/view/CSEIT241051033 Article URL (text/html)
https://ijsrcseit.com/home/article/download/CSEIT241051033/CSEIT241051033 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v10:y2024:i5:id:321

DOI: 10.32628/CSEIT241051033

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().