Transforming Car Accident Detection: An IoT and Cloud-Based Approach

Abstract

he rise in car accidents and fatalities has led to a growing interest among researchers in the potential of IoT (Internet of Things) and its application in smart transportation technology. In this particular project, we aim to tackle the issue of automatic car accident detection and subsequently alert nearby vehicles within a predefined geographic area. Additionally, our device will send notifications to the driver's family in the unfortunate event of an accident. Within the scope of this project, we are set to develop our own unit for detecting car accidents, which can be easily installed either within the car's dashboard or under the hood. This system relies on components such as the Neo 6m GPS module and the SIM900A GSM module, both integrated with an Arduino. Notably, this GPS-based car accident location tracking system is designed for global use and applicability

Authors and Affiliations

Sabah Khudhair Ali, Omar Shakir Hamad, Mohammed Ghadhban Ahmed, Anmar Aidi Shareef, Mohammed Farooq Saber

Keywords

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  • EP ID EP721635
  • DOI 10.47191/ijmra/v6-i10-26
  • Views 45
  • Downloads 0

How To Cite

Sabah Khudhair Ali, Omar Shakir Hamad, Mohammed Ghadhban Ahmed, Anmar Aidi Shareef, Mohammed Farooq Saber (2023). Transforming Car Accident Detection: An IoT and Cloud-Based Approach. International Journal of Multidisciplinary Research and Analysis, 6(10), -. https://europub.co.uk/articles/-A-721635