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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM64408

IOT Based Intelligent Accident Alert and Rescue Assistance System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64408

Volume:

10 |

5 |

May 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Pk

Premkumar kale

Electronics & Telecommincation

JSPM's Bhivarabai Sawant Institute of Technology & Research

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RM

Rahul Mahale

Electronics & Telecommincation

JSPM's Bhivarabai Sawant Institute of Technology & Research

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SJ

Samarath Jadhav

Electronics & Telecommincation

JSPM's Bhivarabai Sawant Institute of Technology & Research

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Mentors

DYA

Dr. Y.S. Angal

Electronics & Telecommincation

JSPM's Bhivarabai Sawant Institute of Technology & Research

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Abstract

: In today's fast-paced world, road accidents are a major concern, with thousands of lives lost each year due to delays in emergency response. The Accident Alert System (AAS) is designed to bridge this gap by integrating real-time accident detection with automatic alert generation. Utiizing Internet of Things (IoT) technology and sensor-based monitoring, this system ensures immediate emergency response. It employs motion detection sensors, GPS tracking, and GSM communication to detect accidents and instantly notify emergency contacts and authorities with precise location data. This paper explores the system’s design, implementation, working mechanism, real-world testing, and potential enhancements in improving road safety.

KEYWORDS

Accident Detection IoT GPS Tracking ESP32 Emergency Response GSM Communication and Safety

Cite This Article

Premkumar kale, Rahul Mahale, Samarath Jadhav, Dr. Y.S. Angal, "IOT Based Intelligent Accident Alert and Rescue Assistance System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-6, May 2026.

Full Article/Conclusion

The Accident Alert System (AAS) proves to be a vital innovation in enhancing vehicular safety and improving emergency response times. Through real-time accident detection using sensors and GPS, the system ensures that help can be dispatched promptly, even when victims are unable to seek assistance themselves. The successful test results confirm the system's effectiveness in identifying major collisions and triggering alerts automatically. While certain challenges such as false positives and sensor calibration need further refinement, the system lays a strong foundation for smart vehicle safety. With continued development and integration into modern transport infrastructure, the AAS can significantly reduce road fatalities and contribute to safer travel environments.

References

[1]   Andrea Z and Lorenzo V., “Internet of Things for Smart Cities,” IEEE Internet of Things Journal, vol/issue: 1(1), Feb 2014. [2]   Isna K. and S. D. Sawant, “Integration of Cloud Computing and Internet of Things,” International Journal of Advanced Research in Computer and Communication Engineering, vol/issue: 5(4), Apr 2016. [3]  Shivani S. and Shoney S., “IoT Based Car Accident Detection and Notification Algorithm for General Road Accidents”, International Journal of electrical and Computer Engineering (IJECE), vol: 9, Oct 2019, pp. 4020-4026 [4]   Thomas, S.S.; Gupta, S.; Subramanian, V.K. Event Detection on Roads Using Perceptual Video Summarization. IEEE Trans. Intell. Transp.Syst. 2018, 19, 2944–2954. [5]  Zhang, Z. “Traffic Event Detection from Consumer Vehicle Sensor Data: An Autonomous Vehicle Study”. Transp. Res. Rec. 2022. [6]  Ta, V.T.; Dvir, A. A Secure Road Traffic Congestion Detection and Notification Concept Based on V2I Communications. Veh.Common. 2020, 25, 100283. [7]  Bhaskar, A.; Chung, E. Fundamental Understanding on the Use of Bluetooth Scanner as a Complementary Transport Data. Transp. Res. Part C Emerg. Technol. 2013, 37, 42–72. [8]   D’Andrea, E.; Marcelloni, F. Detection of Traffic Congestion and Incidents from GPS Trace Analysis. Expert Syst. Appl. 2017, 73, 43–56. [9]      E Krishna Priya, P Manju, V Mythra, S Umamaheswari, "IoT Based Vehicle Tracking and Accident Detection System", International Journal of Innovative Research in Computer and Communication Engineering, Vol.5, No.3, pp. 4424-4430, 2017 [10]   Ozbayoglu M., Kucukayan G., Dogdu E., “A Real-Time Autonomous Highway Accident Detection Model Based on Big Data Processingand Computational Intelligence”, Institute of Electrical           and           Electronics            Engineers,           doi: 10.1109/BigData.2016.7840798, Feb 2017

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Publication Date

6/1/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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