International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05 | May 2023
p-ISSN: 2395-0072
www.irjet.net
ACCIDENT DETECTION AND AVOIDANCE USING VEHICLE TO VEHICLE COMMUNICATION (V2V) B. Akilesh1, A. Ashfaq2, V. Jagan3, S. R. Malathi4 1234Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering,
Sriperumbudur, TamilNadu ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The number of road accidents has been
medical help reaches the accident site, it is often too late, and precious lives are lost. This delay is usually due to traffic congestion or the inability to locate the exact location of the accident. There is a need for a system that can detect collisions and drunk driving and send alerts to the concerned authorities in real-time with minimum delay. Existing safety systems can detect collisions and perform alcohol detection at vehicle start, but they do not provide a comprehensive solution to the problem. Advanced sensor technologies such as crash sensors, acceleration sensors, vibration sensors, alcohol sensors, GPS, and GSM modules where it is proposed in [6]. Whereas our proposed system can send alerts to the concerned authorities in the form of a URL that sends geographical co-ordinates. Alcohol consumption can impair a driver's judgment, coordination, and reaction time, making it extremely dangerous to operate a vehicle. While the use of alcohol sensors is becoming more common in vehicles to prevent drunk driving, they only check for alcohol consumption at the start of the vehicle [11]. This means that a driver may start driving while sober, but their alcohol levels may increase as they continue to drive, leading to dangerous situations on the road. Our proposed system can detect drunk driving in real-time and also enables the automated parking of the vehicle as a line follower robot prototype as in [10], thereby reducing the risk of accidents while parking. The V2V communication feature that has been implemented using nRF24L01 model ensures that other vehicles on the road are informed of the situation [9], reducing the risk of further accidents. The proposed safety system provides a comprehensive solution to the problem of road accidents and can significantly reduce the number of fatalities caused by such accidents.
Key Words: Arduino UNO, Crash, Vibration, Accelerometer, GPS, GSM, V2V, Automated parking.
2. LITERATURE REVIEW
increasing every year, resulting in a significant loss of life and property. The lack of advanced safety measures in vehicles and irresponsible driving behavior like drunk driving are the major causes of these accidents. The demand for a reliable and efficient safety system that can prevent road accidents and reduce the number of fatalities is increasing. There is a need for a system that can detect collisions and drunk driving and send alerts to the concerned authorities in real-time with minimum delay. Currently, there are some existing safety systems that can detect collisions and perform alcohol detection at vehicle start, but they do not provide a comprehensive solution to the problem. The proposed safety system utilizes advanced sensor technologies such as crash sensors, acceleration sensors, vibration sensors, alcohol sensors, IR sensor, GPS and GSM modules. The proposed safety technique integrates Vehicle-to-Vehicle (V2V) communication and has a basic automated parking feature, which can park the vehicle safely if the driver is detected to be under the influence of alcohol. The automatic parking feature enables the vehicle to slow down along with automatic turning ON of the parking indicator and also steering the vehicle towards the sideways of the road for parking. The system can detect collisions and drunk driving in real-time and send alerts to the concerned authorities in the form of a URL which denotes the exact location. The vehicle to vehicle (V2V) communication feature ensures that other vehicles on the road are informed of the drunk driving situation, thereby reducing the risk of further accidents. The proposed safety system can significantly reduce the number of accidents caused by collisions and drunk driving, ultimately leading to a reduction in the loss of life and property.
In [1], the author proposed a an IoT-based system to reduce road accidents in Bangladesh, the system also sends an SMS alert with location data to the vehicle owner in case of an accident with unknown causes, but there may be compatibility and reliability issues in areas with poor connectivity or outdated infrastructure.
1. INTRODUCTION Road accidents have been a major cause of loss of life and property, and the number of such accidents has been increasing every year. The major causes of these accidents are the lack of advanced safety measures in vehicles and irresponsible driving behavior. The demand for a reliable and efficient safety system that can prevent road accidents and reduce the number of fatalities is increasing. One of the critical factors that contribute to such accidents is the delay in ambulance arrival time [7-8]. In many cases, by the time
© 2023, IRJET
|
Impact Factor value: 8.226
Sharanabasappa, J. N. et.al [2], discussed how IoT can help solve social problems, specifically, driving under the influence. By embedding sensors into vehicles, IoT can monitor drivers and prevent drunk driving. While this solution has potential, its effectiveness is limited by the cost
|
ISO 9001:2008 Certified Journal
|
Page 1396