Rapid-Response Framework for Defensive Driving Based on Internet of Vehicles Using Message-Oriented Middleware

Lai, Po‐Yu; Dow, Chyi‐Ren; Chang, Yu-Yun

doi:10.1109/access.2018.2808913

Cited by 11 publications

(2 citation statements)

References 27 publications

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“…VANETs inherit the main characteristics of Mobile Ad Hoc Networks (MANETs), in which the vehicles play the role of mobile nodes supplied with wireless communications [8]. Many applications are designed for safety and non-safety purposes, and one of these applications is the video streaming, which is now the focus of research community attention because it enriches the drivers and passengers with valuable information in comparison with textual messages [9]- [11].…”

Section: The Communication Entities Road Side Unit (Rsu) Andmentioning

confidence: 99%

A New Clustering Algorithm for Live Road Surveillance on Highways based on DBSCAN and Fuzzy Logic

Alabbas¹,

Huszák²

2020

IJACSA

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Video streaming over Vehicular Ad Hoc Networks is a promising technique (VANETs), and it has gained great importance in the last few years. The highly dynamic topology of VANETs makes high-quality video streaming very challenging. In order to provide the most useful camera views to the vehicles, clustering and cluster head selection techniques are used. Too frequent camera view changes can be annoying; therefore, we propose a new stable clustering algorithm to ensure a stable live road surveillance service without interruptions for vehicles that do not have enough vision area. In the proposed solution, we integrated Density-Based Spatial Clustering of Applications with Noise (DBSCAN) with Fuzzy Logic Control (FLC). DBSCAN is used to form the clusters, while FLC is used to find the best cluster head for the cluster. Different parameters are utilized like density parameters for DBSCAN, and relative speed, acceleration, leadership degree and vision area for fuzzy logic. Our proposed algorithm showed better results in terms of cluster lifetime and vehicle status change. Our proposed algorithm has been compared with another clustering scheme to prove the effectiveness of our proposed algorithm.

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Section: The Communication Entities Road Side Unit (Rsu) Andmentioning

confidence: 99%

A New Clustering Algorithm for Live Road Surveillance on Highways based on DBSCAN and Fuzzy Logic

Alabbas¹,

Huszák²

2020

IJACSA

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“…This should enable drivers or self-driving vehicles to predict risks and operate vehicles safely. [5] Blink duration is one of the useful indicators to estimate drowsiness and fatigue. A Doppler sensor could be a key device to realize the non-contact blink duration estimation, which is very useful for the drowsiness and fatigue monitoring in real life.…”

mentioning

confidence: 99%

Smart Helmet for Drunk & Drive Detection and Alert System

Vanaja,

Kothai,

Ashmitha

et al. 2023

E3S Web Conf.

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The rise in road accidents in our country is primarily due to the negligence of not wearing helmets, reckless driving, and drunk driving, which can result in serious head injuries or even death if prompt medical attention is not given. To ensure the safety of bikers, it is crucial to have a system that mandates helmet use. This project presents the development of a smart helmet module with sensors that detect alcohol consumption and helmet use. The module also includes a GSM module that sends out an accident alert along with the GPS module for location tracking and Blink sensor is used to check the sobriety of the driver.

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Live Emergency and Warning Alerts Through Android Application for Vehicular Ad Hoc Network Communication (Android VANET)

Joe

Ramakrishnan

2020

Wireless Pers Commun

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Rapid-Response Framework for Defensive Driving Based on Internet of Vehicles Using Message-Oriented Middleware

Cited by 11 publications

References 27 publications

A New Clustering Algorithm for Live Road Surveillance on Highways based on DBSCAN and Fuzzy Logic

A New Clustering Algorithm for Live Road Surveillance on Highways based on DBSCAN and Fuzzy Logic

Smart Helmet for Drunk & Drive Detection and Alert System

Live Emergency and Warning Alerts Through Android Application for Vehicular Ad Hoc Network Communication (Android VANET)

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