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MEMS Sensor Based V2V Communication Using Li-Fi Technology

Due to its extensive use in intelligent transportation systems, the topic of traffic accident detection is quickly becoming one of the most fascinating ones. The absence of inexperienced drivers, driving while intoxicated, driving too fast, and driving while sleepy are the main contributors to these...

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Bibliographic Details
Main Authors: Thandapani, Kavitha, Nagarajan, P., Pappa, C. Kanmani, Ashokkumar, N.
Format: Conference Proceeding
Language:English
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Summary:Due to its extensive use in intelligent transportation systems, the topic of traffic accident detection is quickly becoming one of the most fascinating ones. The absence of inexperienced drivers, driving while intoxicated, driving too fast, and driving while sleepy are the main contributors to these traffic accidents. Numerous measures have been used to stop these traffic accidents. However, the majority of them failed to stop this. We demonstrate an upgraded Li-Fi accident detection method in this study. The proposed model offers an intelligent system for the identification and avoid of accidents for the protection of human life. Sensors like mems sensors and ultrasonic sensors are used in that preventative component. When a sensor determines there is not enough space between two vehicles, it notifies the vehicle in front of it.
ISSN:2575-7288
DOI:10.1109/ICACCS57279.2023.10112879