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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM24308
Volume:
7 |
7 |
Jul 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The integration of autonomous vehicles into our transportation system has the potential to revolutionize the way we commute and address several challenges associated with traditional transportation modes. The paper presents a comprehensive literature survey on the use of a cloud-based model for controlling vehicle speed based on traffic rules. As semi-autonomous vehicles become increasingly prevalent, ensuring safe commuting experiences has become a significant focus for researchers and industry professionals. This paper explores existing literature related to the integration of cloud computing and traffic rule management systems with semi-autonomous vehicles. The primary objective is to propose a model that leverages cloud infrastructure to store and update traffic rules, enabling precise control of vehicle speed to ensure compliance with current regulations and enhance overall safety. Through a systematic review of the literature, various approaches and technologies used in similar models are analyzed. Key aspects considered include the communication framework between the cloud and vehicles, methods for real-time traffic rule updates, and the impact of cloud-based speed control on safe commuting.
KEYWORDS
Publication Date
2/6/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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