Smart Car: An IoT Based Accident Detection System

Arif Shaik, Natalie Bowen, Jennifer Bole, Gary Kunzi, Daniel Bruce, Ahmed Abdelgawad, Kumar Yelamarthi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

27 Scopus citations


The Internet of Things (IoT) offers limitless possibilities to both the public and private sectors. Automobile manufacturers are interested in IoT applications to increase the safety of their vehicles, to meet customers' demands and ultimately to offer cutting-edge products which maximize profit. The healthcare industry is concerned with how the IoT can improve the speed and accuracy of communication. This paper describes the feasibility of equipping a vehicle with technology that can detect an accident and immediately alert emergency personnel. When there is a car accident someone has to actively seek help such as calling 911 for emergency services. There is no automatic notification to the police, ambulance, friends, or family. The Internet of Things (IoT) can be used to produce an automatic notification and response to the scene. A signal from an accelerometer and a GPS sensor are automatically sent to the cloud and from there, an alert message will be received by whoever is subscribed to that car. The signal will indicate the severity of the accident and the GPS location. The ambulance will use the GPS coordinates to get to the scene quickly.

Original languageEnglish
Title of host publication2018 IEEE Global Conference on Internet of Things, GCIoT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538685099
StatePublished - Jan 18 2019
Event2018 IEEE Global Conference on Internet of Things, GCIoT 2018 - Alexandria, Egypt
Duration: Dec 5 2018Dec 7 2018

Publication series

Name2018 IEEE Global Conference on Internet of Things, GCIoT 2018


Conference2018 IEEE Global Conference on Internet of Things, GCIoT 2018


  • Accelerometer
  • GPS sensor
  • Smart accident detection
  • ThingSpeak
  • Twilio


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