CASD: A Framework of Context-Awareness Safety Driving in Vehicular Networks

Author(s):  
Yiwen Shen ◽  
Jaehoon Jeong ◽  
Tae Oh ◽  
Sang Hyuk Son
2020 ◽  
Vol 6 ◽  
pp. e334
Author(s):  
Abdul Rehman ◽  
Mohd Fadzil Hassan ◽  
Kwang Hooi Yew ◽  
Irving Paputungan ◽  
Duc Chung Tran

In the near future, the Internet of Vehicles (IoV) is foreseen to become an inviolable part of smart cities. The integration of vehicular ad hoc networks (VANETs) into the IoV is being driven by the advent of the Internet of Things (IoT) and high-speed communication. However, both the technological and non-technical elements of IoV need to be standardized prior to deployment on the road. This study focuses on trust management (TM) in the IoV/VANETs/ITS (intelligent transport system). Trust has always been important in vehicular networks to ensure safety. A variety of techniques for TM and evaluation have been proposed over the years, yet few comprehensive studies that lay the foundation for the development of a “standard” for TM in IoV have been reported. The motivation behind this study is to examine all the TM models available for vehicular networks to bring together all the techniques from previous studies in this review. The study was carried out using a systematic method in which 31 papers out of 256 research publications were screened. An in-depth analysis of all the TM models was conducted and the strengths and weaknesses of each are highlighted. Considering that solutions based on AI are necessary to meet the requirements of a smart city, our second objective is to analyze the implications of incorporating an AI method based on “context awareness” in a vehicular network. It is evident from mobile ad hoc networks (MANETs) that there is potential for context awareness in ad hoc networks. The findings are expected to contribute significantly to the future formulation of IoVITS standards. In addition, gray areas and open questions for new research dimensions are highlighted.


2014 ◽  
Vol 10 (5) ◽  
pp. 929165
Author(s):  
Tzu-Kai Cheng ◽  
Jenq-Shiou Leu ◽  
Ing-Xiang Chen ◽  
Jean-Lien C. Wu ◽  
Zhe-Yi Zhu

2018 ◽  
Vol 5 (4) ◽  
pp. 2407-2419 ◽  
Author(s):  
Michele Ruta ◽  
Floriano Scioscia ◽  
Filippo Gramegna ◽  
Saverio Ieva ◽  
Eugenio Di Sciascio ◽  
...  

2013 ◽  
Vol 32 (4) ◽  
pp. 900-904 ◽  
Author(s):  
Xiao-yang LIU ◽  
Min-you WU
Keyword(s):  

2013 ◽  
Vol 33 (12) ◽  
pp. 3363-3367
Author(s):  
Chao FANG ◽  
Yiling YANG ◽  
Yu HUANG

2021 ◽  
Vol 184 ◽  
pp. 364-371
Author(s):  
Ezgi Tetik Saglam ◽  
Yusuf Yaslan ◽  
Sema F. Oktug
Keyword(s):  

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