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

Shen, Yiwen; Jeong, Jaehoon; Oh, Tae; Son, Sang H.

doi:10.1109/waina.2016.74

Cited by 5 publications

(8 citation statements)

References 17 publications

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“…Their work shows the implications of context in wireless networks, especially IoT-related technologies and VANETs, which strongly support our research question. In a recent study, context was employed to design a safety system in VANETs (Shen et al, 2016). The concept is for vehicles to share the road environment while driving safely.…”

Section: Context Awarenessmentioning

confidence: 99%

State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR)

Rehman

Hassan

Hooi

et al. 2020

PeerJ Computer Science

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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.

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Section: Context Awarenessmentioning

confidence: 99%

State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR)

Rehman

Hassan

Hooi

et al. 2020

PeerJ Computer Science

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“…Yiwen et al proposed a framework named CASD (Context-Awareness Safety Driving) [11]. The proposed framework enables to provide safety action plan by three situations including the Line-of-Sight unsafe, Non-Line-of-Sight unsafe and safe situation.…”

Section: Related Workmentioning

confidence: 99%

Context-Awareness based Driving Assistance System for Autonomous Vehicles

Ryu¹,

Cha²

2018

IJCA

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“…This section describes the survey of applications for driving safety and efficiency in vehicular networks, such as navigation system, pedestrian protection system, vehicle collision avoidance (CA) system, and green driving assistance system. [14][15][16][17][18] Navigation system Jeong et al 14 proposed an outdoor navigation system called a self-adaptive interactive navigation tool (SAINT), which is tailored for cloud-based vehicular traffic optimization in road networks. The legacy navigation systems (e.g., Waze and Tmap) guide vehicles to navigate toward their destination less effectively with only vehicular traffic snapshot.…”

Section: Applicationsmentioning

confidence: 99%

“…The cost for implementation and communication for the SANA service along with RSU deployment Vehicle collision avoidance system (e.g., CASD 17 ) The reduction in road accidents and RSUs. This information can be used to target the potential vehicles that could be hacked later to obtain the confidential information such as drivers' identities and other private information.…”

Section: Applications Advantages Disadvantagesmentioning

confidence: 99%

“…Nowadays, vehicular sensor networks (VSNs) have become a popular research area for a variety of services in road networks, such as the driving safety and efficiency. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] Vehicles play a vital role in monitoring road surfaces to detect obstacles and road hazards, and their monitoring is performed by a collection of various motion sensors (e.g., accelerometer, gyroscope, and magnetometer), obstacle detection sensors (e.g., ultrasonic and laser sensors), and camera (e.g., on-board dash camera).…”

Section: Introductionmentioning

confidence: 99%

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Survey on protocols and applications for vehicular sensor networks

Jeong

2016

International Journal of Distributed Sensor Networks

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This article surveys protocols and applications for the driving safety and efficiency in vehicular sensor networks. Nowadays, most vehicles are equipped with Global Positioning System navigation systems in the form of a dedicated navigator or smartphone app. Also, the government regulation requires vehicles to be equipped with dedicated shortrange communication device for the communications among vehicles or between vehicles and infrastructure for a safety purpose. Because of this trend, many applications in vehicular networks can be envisioned for the safety of drivers and pedestrians as well as driving efficiency and fuel saving. To support these applications, protocols in physical, link, and network layers are designed and tailored for the optimal performance. This article summarizes and analyzes the state-of-art articles in the protocols and applications for vehicular sensor networks in order to shed the light of research direction on the audience in vehicular sensor networks.

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

Cited by 5 publications

References 17 publications

State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR)

State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR)

Context-Awareness based Driving Assistance System for Autonomous Vehicles

Survey on protocols and applications for vehicular sensor networks

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