@inproceedings{3f5908da08f44a5babda307f0a707d06,
title = "A novel IoT based accident detection and rescue system",
abstract = "In South-East Asian cities such as Delhi, Dhaka road accidents are a very common occurrence which brings disaster to human lives as well as infrastructures. Sometimes people cannot reach hospitals prompt after an accident because of the traffic jam, deficit of ambulance, lack of a mechanism to timely propagate information to the appropriate authority. To ensure the safety of lives, this paper proposes an automated IoT based effective accident detection system. Immediately after an incident, the data information is sent to the webserver, instant SMS is forwarded to the victim's acquaintances and also to the relevant authorities such as traffic control room, nearby police station, ambulance service. To evaluate the performance of the system, a simulated road scenario has been designed. The result obtained after a thorough integration and system testing demonstrates that the proposed system not only achieves the stated goal of the research but also can deliver the expected outcome in a rather cost-effective way.",
keywords = "GSM, IoT, Load cell GPS, Rescue system, Wi-Fi module",
author = "Pranto Karmokar and Saikot Bairagi and Anuprova Mondal and Nur, {Fernaz Narin} and Moon, {Nazmun Nessa} and Asif Karim and Yeo, {Kheng Cher}",
year = "2020",
month = aug,
doi = "10.1109/ICSSIT48917.2020.9214296",
language = "English",
series = "Proceedings of the 3rd International Conference on Smart Systems and Inventive Technology, ICSSIT 2020",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "322--327",
booktitle = "Proceedings of the 3rd International Conference on Smart Systems and Inventive Technology, ICSSIT 2020",
address = "United States",
edition = "1",
note = "3rd International Conference on Smart Systems and Inventive Technology, ICSSIT 2020 ; Conference date: 20-08-2020 Through 22-08-2020",
}