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Accident Detection using Vanet and IoT

B. Shoban Babu*, Deepak Yadav**, Shamsul Haq***

*-*** Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh, India.

Periodicity:July - December'2021
DOI : https://doi.org/10.26634/jcs.10.2.16025

Abstract

The raising population and increased number of vehicles in cities has a direct correlation with traffic congestion and accidents. Lack of immediate medical care in road accidents causes loss of life. In such situations, automatic accident detection can save lives. In this paper, an automatic accident detection system is proposed using Vehicular Ad hoc Network (VANET) and Internet of Things (IoT). This system will be designed using Passive Infrared (PIR) Sensor, Node Microcontroller Unit (MCU), Global System for Mobile Communication (GSM), Global Positioning System (GPS), Heartbeat (HB) Sensor, On-Board Unit (OBU), Degree/Minute/Second (DMS), and Micro Electro-Mechanical System (MEMS). The application is able to determine the accident and the severity of the emergency level using mechanical and medical sensors installed in the car and inform ambulance with the location parameters.

Keywords

VANET, IoT, PIR Sensor, NODE MCU, GSM, GPS, HB Sensor, OBU, DMS, MEMS.

How to Cite this Article?

Babu, B. S., Yadav, D., and Haq, S. (2021). Accident Detection using Vanet and IoT. i-manager's Journal on Communication Engineering and Systems, 10(2), 33-39. https://doi.org/10.26634/jcs.10.2.16025

References

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