An Enhanced Novel IoT-Based Car Accident Detection and Alert System

Rimsha Jamil Ghilzai; Ayesha Qadir; Urwa Bibi; Muhammad Afzal

Authors

Rimsha Jamil Ghilzai Ghazi University D.G.Khan
Ayesha Qadir Ghazi University D.G.Khan
Urwa Bibi Ghazi University D.G.Khan
Muhammad Afzal Ghazi University D.G.Khan

Keywords:

IoT, Car Accident Detection, Accident Alert System, GSM, GPS, Arduino UNO, sensors

Abstract

The excessive use of vehicles for our day-to-day tasks in this revolutionized era has become a necessity, making our lives convenient and technology-dependent. This rise in the use of vehicles has led to a greater number of road accidents that have affected the lives of humans dramatically resulting in an increased fatality rate. According to the World Health Organization, about 50 million people are injured due to road accidents every year. This is mainly due to the unavailability of timely emergency health services. Objective: This study is presented to address this critical issue by leveraging the unmatched capabilities of the Internet of Things (IoT). Novelty statement: A novel IoT-based car accident detection and alerting system considering various car parameters simultaneously for more precise results is proposed which is designed in two stages. First, the accident that has occurred is detected via sensors considering the key vehicle parameters like speed, pressure, acceleration, and gravitation force. Second, upon detecting an accident an emergency alert containing all relevant information regarding the driver, vehicle as well as the exact location of the accident calculated through a GPS module along with its severity is sent to the nearby hospital, police, and driver’s emergency contacts using the GSM module. The proposed approach is employed on a toy car to show its significance and outperforms the existing systems in terms of accuracy 98% and responsiveness.

References

M. G. P. M Anil Kumar, M Venkata Suman, Yogesh Misra, “Intelligent vehicle black box using IoT,” Int. J. Eng. Technol., vol. 7, no. 27, 2018, doi: https://doi.org/10.14419/ijet.v7i2.7.10296.

M. J. W. T. Drew Dawson., Amy C. Reynolds, Hans P.A. Van Dongen, “Determining the likelihood that fatigue was present in a road accident: A theoretical review and suggested accident taxonomy,” Sleep Med. Rev., vol. 42, pp. 202–210, 2018, doi: https://doi.org/10.1016/j.smrv.2018.08.006.

H. A. Arsalan Khan, Farzana Bibi, Muhammad Dilshad, Salman Ahmed, Zia Ullah, “Accident Detection and Smart Rescue System using Android Smartphone with Real-Time Location Tracking,” Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 6, 2018, doi: 10.14569/IJACSA.2018.090648.

C. R. Jackson Lydia, “Road accident casualties in Britain and the world,” House Commons Libr., 2018, [Online]. Available: https://commonslibrary.parliament.uk/research-briefings/cbp-7615/

S. U. I. Fizzah Bhatti, Munam Ali Shah, Carsten Maple, “A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments,” Sensors, vol. 19, no. 9, p. 2071, 2019, doi: https://doi.org/10.3390/s19092071.

A. Khan, M. Pohl, S. Bosse, S. W. Hart, and K. Turowski, “A holistic view of the IoT process from sensors to the business value,” IoTBDS 2017 - Proc. 2nd Int. Conf. Internet Things, Big Data Secur., pp. 392–399, 2017, doi: 10.5220/0006362503920399.

S. S. Shivani Sharma, “IoT based car accident detection and notification algorithm for general road accidents,” Int. J. Electr. Comput. Eng., vol. 9, no. 5, p. 4020~4026, 2019, doi: http://doi.org/10.11591/ijece.v9i5.pp4020-4026.

S. Jawad, H. Munsif, A. Azam, A. H. Ilahi, and S. Zafar, “Internet of Things-based Vehicle Tracking and Monitoring System,” 2021 15th Int. Conf. Open Source Syst. Technol. ICOSST 2021 - Proc., 2021, doi: 10.1109/ICOSST53930.2021.9683883.

J. Z. Hernández, J. Cuena, and M. Molina, “REAL-TIME TRAFFIC MANAGEMENT THROUGH KNOWLEDGE- BASED MODELS: THE TRYS APPROACH,” 1999.

S. Inoue, K. Shozaki, and Y. Kakuda, “An automobile control method for alleviation of traffic congestions using inter-vehicle ad hoc communication in lattice-like roads,” GLOBECOM - IEEE Glob. Telecommun. Conf., 2007, doi: 10.1109/GLOCOMW.2007.4437828.

M. H. U. Khan and M. M. Howlader, “Design of An Intelligent Autonomous Accident Prevention, Detection and Vehicle Monitoring System,” 2019 IEEE Int. Conf. Robot. Autom. Artif. Internet-of-Things, RAAICON 2019, pp. 40–42, Nov. 2019, doi: 10.1109/RAAICON48939.2019.6263505.

S. M. GOWSHIKA. B, MADHU MITHA. G, JAYASHREE. S, “Vehicle accident detection system by using GSM and GPS,” Int. Res. J. Eng. Technol., vol. 6, no. 1, 2019, [Online]. Available: https://www.irjet.net/archives/V6/i1/IRJET-V6I1294.pdf

K. M. P. Josephinshermila, S. Sharon priya, S. G. P. Ramakrishna hegde, and B. Veerasamy, “Accident detection using Automotive Smart Black-Box based Monitoring system,” Meas. Sensors, vol. 27, p. 100721, 2023, doi: https://doi.org/10.1016/j.measen.2023.100721.

S. Uma and R. Eswari, “Accident prevention and safety assistance using IOT and machine learning,” J. Reliab. Intell. Environ., vol. 8, no. 2, pp. 79–103, Jun. 2022, doi: 10.1007/S40860-021-00136-3/METRICS.

H. A. T. Thamaraimanalan, M. Mohankumar, S. Dhanasekaran, “Experimental analysis of intelligent vehicle monitoring system using Internet of Things (IoT),” EAI Endorsed Trans. Energy, 2021, doi: http://dx.doi.org/10.4108/eai.16-4-2021.169336.

M. H. Priyanka Vijay Teke, Pooja Shivling Dalvi, Aditi Shashikant Ayarekar, Shreya Shankar Shivgan, “Smart Vehicle Black Box,” Int. J. Res. Eng. Sci. Manag., vol. 4, no. 6, 2021.

Y. Yao and E. Atkins, “The Smart Black Box: A Value-Driven High-Bandwidth Automotive Event Data Recorder,” IEEE Trans. Intell. Transp. Syst., vol. 22, no. 3, pp. 1484–1496, Mar. 2021, doi: 10.1109/TITS.2020.2971385.

M. V. T Kalyani, S Monika, B Naresh, “Accident Detection and Alert System,” Int. J. Innov. Technol. Explor. Eng., vol. 8, no. 4, pp. 2278–3075, 2019.

T. Bernatin, S. A. Nisha, Revathy, and P. Chitra, “Implementation of communication aid using zigbee technology,” Proc. - 5th Int. Conf. Intell. Comput. Control Syst. ICICCS 2021, pp. 29–32, May 2021, doi: 10.1109/ICICCS51141.2021.9432357.

“Development of insurance server system based on vehicle driving information | IEEE Conference Publication | IEEE Xplore.” Accessed: Feb. 19, 2025. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/6530318

M. B. Nikhlesh Pathik, Rajeev Kumar Gupta, Yatendra Sahu, Ashutosh Sharma, Mehedi Masud, “AI Enabled Accident Detection and Alert System Using IoT and Deep Learning for Smart Cities,” Sustainability, vol. 14, no. 13, p. 7701, 2022, doi: https://doi.org/10.3390/su14137701.

“(PDF) INTELLIGENT ACCIDENT DETECTION AND SMART ALERT SYSTEM FOR VEHICLES.” Accessed: Feb. 19, 2025. [Online]. Available: https://www.researchgate.net/publication/358504410_INTELLIGENT_ACCIDENT_DETECTION_AND_SMART_ALERT_SYSTEM_FOR_VEHICLES

A. Shaik et al., “Smart Car: An IoT Based Accident Detection System,” 2018 IEEE Glob. Conf. Internet Things, GCIoT 2018, Jul. 2018, doi: 10.1109/GCIOT.2018.8620131.

M. Karthik, L. Sreevidya, K. Vinodha, M. Thangaraj, G. Hemalatha, and T. V. Sena, “Automatic messaging system by detecting the road accidents for vehicle applications,” Mater. Today Proc., vol. 80, pp. 3124–3128, Jan. 2023, doi: 10.1016/J.MATPR.2021.07.177.

S. A. Mohammed Balfaqih, Soltan Abed Alharbi, Moutaz Alzain, Faisal Alqurashi, “An Accident Detection and Classification System Using Internet of Things and Machine Learning towards Smart City,” Sustainability, vol. 14, no. 1, p. 10, 2022, doi: https://doi.org/10.3390/su14010210.

N. R. Vatti, P. Vatti, R. Vatti, and C. Garde, “Smart Road Accident Detection and communication System,” Proc. 2018 Int. Conf. Curr. Trends Towar. Converging Technol. ICCTCT 2018, Nov. 2018, doi: 10.1109/ICCTCT.2018.8551179.