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Smart city article details

Title	Internet Of Vehicle Based Accident Detection And Management Techniques By Using Vanet: An Empirical Study
ID_Doc	33096
Authors	Bhuvaneswari S.; Saranya R.
Year	2020
Published	Proceedings of the 4th International Conference on Inventive Systems and Control, ICISC 2020
DOI	http://dx.doi.org/10.1109/ICISC47916.2020.9171224
Abstract	The dramatic increase of urban motorcycle road fatalities has led to significant issuesin contemporary traffic management systems. The impact of synergetic paradigms of VANET envisages sustainable solutions for smart transportation. Furthermore, Internet of Vehicle (IoV) the fastest growing extension module of VANET builds highly compatible cloud based collaboration among heterogeneous entities like vehicles, human and internet services. The proliferation of such IoV enabled device configuration provides scalable, efficient and quality driven applications for smart city ecosystem. This paper focusses on identifying and examining the adoption of wearable embedded smart helmet technology among the motorcyclist that reduces the potential injuries to the head and prevention of accidents due to drunken drive for safe riding. In addition, this study critically evaluated the existing best practices of smart helmet management and issues in terms of software and hardware aspects. Finally, the survey ends by emphasis on analytical insights and future plan. © 2020 IEEE.
Author Keywords	Arduino UNO; BLE; GSM; IoV; MQ3 alcohol sensor; Raspberry pi; RFID; VANET; Zigbee

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