research-article

Design and Development of IoT Based Accident Detection and Emergency Response System

Authors:

Sahriar Habib,

Zawata Afnan,

Sakib Anam Chowdhury,

Sarah Altaf Chowdhury,

Abu S. M. MohsinAuthors Info & Claims

CCIOT '20: Proceedings of the 2020 5th International Conference on Cloud Computing and Internet of Things

Pages 35 - 42

https://doi.org/10.1145/3429523.3429526

Published: 09 November 2020 Publication History

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Abstract

The number of road accidents is increasing at a rapid pace which also affects the death rate that is proportional to the number of accidents occurring. This is a serious issue that has unfortunately become somewhat normalized due to how deeply embedded it is in the day-to-day lives of people, especially in developing countries. For any society to make significant progress, it is imperative to utilize our technical skills or otherwise to ensure personal safety before anything else. This includes reducing the time of response to an accident to the minimum, among other things. The development of the Internet of Things (IoT) based accident detection and response system is an attempt towards minimizing the rates of casualty and injuries occurring to both passengers and vehicles due to road accidents. The system is fully automated to be able to send emergency notifications to nearby hospital or fire station and an emergency contact in case of an accident. This is done via a combination of a vehicle device that has to be installed in the vehicle of the consumer and a remote server system that responds to the device accordingly. The motive is to provide the location of the vehicle and measure the severity of the accident so that help can be provided as fast as possible. From the data values collected from the sensors in the vehicle device prototype, we have tested the notification process successfully and also been able to assess the level of accident severity. We believe this system will reduce the response time of emergency responders and in the process improve both the traffic and health system of a society.

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Cited By

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Mohsin AChoudhury SMuyeed M(2025)Automatic priority analysis of emergency response systems using internet of things (IoT) and machine learning (ML)Transportation Engineering10.1016/j.treng.2025.10030419(100304)Online publication date: Mar-2025
https://doi.org/10.1016/j.treng.2025.100304
Sharma MBhardwaj ID SParashar HAwasthi M(2024)Design and Implementation of IoT Based Vehicle Emergency Relieve System2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT)10.1109/ICEECT61758.2024.10738964(1-5)Online publication date: 29-Aug-2024
https://doi.org/10.1109/ICEECT61758.2024.10738964
Bhola BKumar RPriyadarshini ISo-In CPadhy TSlowik AGandomi A(2023)Internet-of-Things-Based Sensor Module for Respiratory Tracking SystemIEEE Sensors Journal10.1109/JSEN.2023.327458523:16(18664-18674)Online publication date: 15-Aug-2023
https://doi.org/10.1109/JSEN.2023.3274585
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Index Terms

Design and Development of IoT Based Accident Detection and Emergency Response System
1. Computer systems organization
  1. Embedded and cyber-physical systems
2. Information systems
  1. Data management systems
  2. Information systems applications
    1. Spatial-temporal systems
      1. Sensor networks

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CCIOT '20: Proceedings of the 2020 5th International Conference on Cloud Computing and Internet of Things

September 2020

93 pages

ISBN:9781450375276

DOI:10.1145/3429523

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 09 November 2020

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CCIOT 2020: 2020 5th International Conference on Cloud Computing and Internet of Things

September 22 - 24, 2020

Okinawa, Japan

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Mohsin AChoudhury SMuyeed M(2025)Automatic priority analysis of emergency response systems using internet of things (IoT) and machine learning (ML)Transportation Engineering10.1016/j.treng.2025.10030419(100304)Online publication date: Mar-2025
https://doi.org/10.1016/j.treng.2025.100304
Sharma MBhardwaj ID SParashar HAwasthi M(2024)Design and Implementation of IoT Based Vehicle Emergency Relieve System2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT)10.1109/ICEECT61758.2024.10738964(1-5)Online publication date: 29-Aug-2024
https://doi.org/10.1109/ICEECT61758.2024.10738964
Bhola BKumar RPriyadarshini ISo-In CPadhy TSlowik AGandomi A(2023)Internet-of-Things-Based Sensor Module for Respiratory Tracking SystemIEEE Sensors Journal10.1109/JSEN.2023.327458523:16(18664-18674)Online publication date: 15-Aug-2023
https://doi.org/10.1109/JSEN.2023.3274585
Verma RKumar NKumar SSruthi S(2023)Emergency Help for Road AccidentsSoft Computing and Optimization10.1007/978-981-19-6406-0_19(235-243)Online publication date: 15-Mar-2023
https://doi.org/10.1007/978-981-19-6406-0_19

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IoT Based Traffic Management, Accident Detection, and Accident Prevention System Using Machine Learning Method

Safety and efficiency control protocol for highways using intelligent vehicular networks

Automatic Accident Detection System Using IoT Compared to the Systems that a Traffic Centre Uses for Accident Detection

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