Accident Prevention System Using IOT for Car Safety

Abstract

Car accidents truly can be considered as one of the most disastrous phenomena.Thoughthe reasonscanbedifferentforthoseaccidentslikethemainproblemcanbedriverâsunawarenessaswellas speed. WiththehelpofIoTwecantrytopreventaswellasreducethenumberofaccidents.IoT(Internet of things), is one of the most growing technology in IT industries and is used to decrease theburden of humanbeings.WiththehelpofIoTwearecreatingasolutionfortheaccidentprevention.Thisisaninten- tiontoimplementaninnovativesolutionforthisproblembydevelopingAnAccidentPreventionSystem Using Iot For Car Safty.In this project, we are developing a system which will monitor and help tore- duce thoseaccidents.This paperdiscusses theprocess ofdeveloping a accidentprevention system.With thegrowingpopulationtheuseofcarasbecamesuperfluousandthishasledtoincreaseinthenumberof accidents at the alarm rate.This project aims at preventing the accident.In this project, we first applied Eclat algorithm to group the crime locations into 0 level, 1 level, 2 level accident location.

Introduction

Summary:

Traffic accidents cause about 1.3 million deaths and 50 million injuries worldwide annually, with young adults (aged 15-44) disproportionately affected. Over 90% of these fatalities occur in low- and middle-income countries, with India experiencing the highest number of road deaths globally. Despite improvements in wealthy nations, developing countries face rising road traffic deaths, described as a growing global epidemic expected to become a leading cause of death by 2030.

Literature Survey:
Recent studies utilize deep learning (CNNs, RNNs, LSTMs), fuzzy logic, and machine learning (Random Forest, SVM, Gradient Boosting) applied to traffic camera, sensor, and GPS data to predict and detect accidents and risky driver behavior in real time. IoT-based systems monitor road and weather conditions, send alerts, and support emergency response, with some focusing on specific environments like mountainous roads. Integration of IoT, edge computing, and computer vision enhances smart surveillance and decision-making.

Proposed System:
The system uses IoT devices combined with the Eclat algorithm to detect and classify accident-prone spots into danger levels (Level 0, 1, 2). Police and government admins mark and monitor these locations on a map, while the Transport Ministry oversees data to guide preventive measures, infrastructure improvements, and emergency coordination.

Objectives:

• Real-time speed monitoring and alerts to prevent overspeeding.

• GPS-based warnings for accident-prone zones and unsafe road conditions.

• Location tracking of vehicles and accidents for faster response.

• Traffic data analysis to identify patterns and risky behaviors.

• Detection and classification of accident hotspots for targeted interventions.

• Overall reduction in road fatalities through smart alerts and monitoring.

System Analysis & Tools:
The system integrates sensors (accelerometers, GPS), microcontrollers (Arduino Uno), and alert devices (buzzers, LCD screens) with web technologies (HTML, JavaScript, MySQL) to deliver real-time hazard detection and notifications. The database manages vehicle, driver, sensor, and accident data.

Methodology & Implementation:
Sensor data is processed in real-time to detect hazards and trigger alerts via GPS and GSM to emergency services. The Eclat algorithm classifies accident locations by severity, enabling prioritized responses. Modular interfaces for government, police, and transport ministries ensure coordinated data management and decision-making. The system aims to reduce fatalities by preventing accidents and improving emergency response times through IoT and machine learning.

Conclusion

Wehaveproposedasystemaimedataccidentpre- vention,withthegoalofmakingtheworldasaferplace to live.The other on detecting the accident locationto assist in tracking and rescue efforts.The proposed system is designed to provide information about the occurrenceandlocationofanaccident,makingiteasier to offer timely assistance to the victims.This system uses a GPS module to locate the vehicle and GSM technology to send accident alerts.The results of the proposed system are promising.The core objective of theaccidentpreventionsystemistoreducethechances of fatalities in accidents that are unavoidable.Once an accident is detected, paramedics are alerted and can reach the specific location to improve the chances of savinglives. Ultimately,thissystemaimstoreducethe death toll and fatalities in countries like India and will have significant impact on daily life. Article.

References

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Copyright

Copyright © 2025 Prof Satish C. Cholke, Harshal Prashant Wagh, Jayesh Ishwar Sonawane, Pranit Sanjay Wakode, Rutuja Sharad Aghav. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.