Almomani, A, Chui, Kwok Tai, Kochhar, Tanveer Singh, Chhabra, Amit, Singh, Sunil K., Singh, Deepinder, Peraković, Dragan and Arya, Varsha Traffic Accident Prevention in Low Visibility Conditions Using VANETs Cloud Environment. International Journal of Cloud Applications and Computing, 12 (1). ISSN 2156-1834
Full text not available from this repository.Abstract
Road accidents have become a major concern for safety today. The increase in the number of vehicles has significantly increased the real-time road traffic, leading to many fatal accidents. Over the years, researchers have been trying to find solutions to enhance vehicular security in order to prevent these accidents or at least reduce their impact. This paper aims to contribute in this domain by studying the reaction time of vehicles in low visibility conditions and proposing a solution which can be implemented in the real world to prevent accidents in such scenarios. A novel algorithm is proposed which utilizes a modified form of AODV routing protocol in VANETS Cloud to alert the vehicles whenever a leading vehicle in the same lane slows down. This study can help the drivers by providing them sufficient time to react before any occurrence of an accident. The drivers would have a better idea about the vehicles in front, allowing them to make proper and informed decisions while driving in low visibility conditions.
Affiliation: | Skyline University College |
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SUC Author(s): | Almomani, A ORCID: https://orcid.org/0000-0002-8808-6114 |
All Author(s): | Almomani, A, Chui, Kwok Tai, Kochhar, Tanveer Singh, Chhabra, Amit, Singh, Sunil K., Singh, Deepinder, Peraković, Dragan and Arya, Varsha |
Item Type: | Article |
Subjects: | B Information Technology > BV Cloud Computing |
Divisions: | Skyline University College > School of IT |
Depositing User: | Mr Mosys Team |
Date Deposited: | 25 Dec 2023 13:50 |
Last Modified: | 25 Dec 2023 13:50 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/645 |
Publisher URL: | https://DOI: 10.4018/IJCAC.313572 |
Publisher OA policy: | https://v2.sherpa.ac.uk/id/publication/12705 |
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