This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
Yash Chavan,
Siddesh Shelar,
Vaishanavi Bharambe,
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India
Abstract
The purpose behind this project is to improve road safety through the development of an innovative IoT based Accident Detection and Reporting System. This research paper proposes the integration of GSM and LoRa technologies, utilizing the A9G module, Arduino Nano, and LoRa module RA02, to achieve real-time accident detection and efficient reporting. By leveraging accelerometer data analysis, the system promptly identifies collisions, triggering immediate alerts via GSM containing precise GPS coordinates. Simultaneously, anguish signals are broadcasted using LoRa for stretched coverage, ensuring robust communication even in remote areas. This paper highlights the system’s effectiveness in enhancing emergency response times and overall road safety, making valuable contributions to transportation infrastructure and public safety initiatives. Reducing post-accident problems and saving lives depend on early accident detection and reporting. To provide real-time alerts and effective communication, this article presents an Internet of Things (IoT)-based accident detection and reporting system that integrates GSM and LoRa technologies. To ensure prompt rescue operations in distant places, the system uses sensors to detect collisions and position data for pinpoint accuracy.
Keywords: GPS, A9G module, Arduino nano, Accelerometer, Flame sensor, Lora antenna, Internet of things.
[This article belongs to Research & Reviews : Journal of Space Science & Technology (rrjosst)]
Yash Chavan, Siddesh Shelar, Vaishanavi Bharambe. Integrating IoT and GNSS for Advanced Accident Detection and Road Safety Enhancement. Research & Reviews : Journal of Space Science & Technology. 2025; 14(01):-.
Yash Chavan, Siddesh Shelar, Vaishanavi Bharambe. Integrating IoT and GNSS for Advanced Accident Detection and Road Safety Enhancement. Research & Reviews : Journal of Space Science & Technology. 2025; 14(01):-. Available from: https://journals.stmjournals.com/rrjosst/article=2025/view=0
References
- Thangam S, Gurupriya M, Kothari O, Sah SN, Shah KP, Dharmaraj KP. Real Time Accident Alert System in Hilly Region using LoRa Technology. In2024 5th International Conference on Smart Electronics and Communication (ICOSEC) 2024 Sep 18 (pp. 700-706). IEEE..
- Goel AK. Integration of MEMS Sensors for Advanced IoT Applications. InElectronic Devices and Circuit Design 2022 Feb 2 (pp. 33-50). Apple Academic Press.
- Yao F, Ding Y, Hong S, Yang SH. A survey on evolved LoRa-based communication technologies for emerging internet of things applications. International Journal of Network Dynamics and Intelligence. 2022 Dec 22:4-19.
- Torbaghan ME, Sasidharan M, Reardon L, Muchanga-Hvelplund LC. Understanding the potential of emerging digital technologies for improving road safety. Accident Analysis & Prevention. 2022 Mar 1;166:106543.
- Shahrah AY, Al-Mashari MA. Emergency response systems: research directions and current challenges. InProceedings of the Second International Conference on Internet of things, Data and Cloud Computing 2017 Mar 22 (pp. 1-6).
- Vinodhini M, Rajkumar S, Subramaniam SK. Real‐time Internet of LoRa Things (IoLT)‐based accident detection and prevention system in vehicular networks towards smart city. International Journal of Communication Systems. 2025 Jan 10;38(1):e5692.
- Alvi U, Khattak MA, Shabir B, Malik AW, Muhammad SR. A comprehensive study on IoT based accident detection systems for smart vehicles. IEEE Access. 2020 Jul 3;8:122480-97.
- Bharath GS, Hitesh N, Bukkapatnam M, Jadhav SD. NB-IOT based road accident alert system. International Journal of Engineering Research & Technology (IJERT). 2022 Mar;11(3):4.
- Butkar UD, Gandhewar N. Accident detection and alert system (current location) using global positioning system. Journal of Algebraic Statistics. 2022 Jul 2;13(3):241-5.
- Dhanasekar J, Niranjana MI, Suresh G, Surya S, Thirugnanabharathi R, Prasath KG. Hazardous Area Monitoring System in Industries Using Lora Module. In2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS) 2023 Mar 17 (Vol. 1, pp. 2062-2066). IEEE.
Research & Reviews : Journal of Space Science & Technology
| Volume | 14 |
| Issue | 01 |
| Received | 20/01/2025 |
| Accepted | 25/01/2025 |
| Published | 31/01/2025 |
| Publication Time | 11 Days |
async function fetchCitationCount(doi) {
let apiUrl = `https://api.crossref.org/works/${doi}`;
try {
let response = await fetch(apiUrl);
let data = await response.json();
let citationCount = data.message[“is-referenced-by-count”];
document.getElementById(“citation-count”).innerText = `Citations: ${citationCount}`;
} catch (error) {
console.error(“Error fetching citation count:”, error);
document.getElementById(“citation-count”).innerText = “Citations: Data unavailable”;
}
}
fetchCitationCount(“10.37591/RRJoSST.v14i01.0”);