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Accident Prevention-Based Analysis Using IoT-Interfaced LabVIEW Model

Author

Listed:
  • Ch. Sarada Sowjanya

    (Koneru Lakshmaiah Education Foundation, Green Fields, India)

  • B. Chaitanya Krishna

    (Koneru Lakshmaiah Education Foundation, Green Fields, India)

  • B. T. P. Madhav

    (Koneru Lakshmaiah Education Foundation, Green Fields, India)

  • Dumisani Lickson Namakhwa

    (Malawi University of Science and Technology, Malawi)

Abstract

In this paper, the authors used LabView to design a sensor-based module and analyse it for an accident prevention system. For the purpose of forecasting potential combinations of accident occurrence, various sensor nodes are integrated into a single system. A LabView-based simulation has been performed to address additional potential conditions after a real-time hardware module with a constrained number of sensors was used to examine various conditions. With the help of an IoT interface, this design will allow a new model in the vehicular communication system to identify different accident occurrences and provide the relevant information to the underprivileged. The proposed model will cover all potential combinations, provide comparative analysis between low- and high-end vehicles, and provide a strategic framework for IoT-enabled vehicular communication systems in the future.

Suggested Citation

  • Ch. Sarada Sowjanya & B. Chaitanya Krishna & B. T. P. Madhav & Dumisani Lickson Namakhwa, 2023. "Accident Prevention-Based Analysis Using IoT-Interfaced LabVIEW Model," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 18(1), pages 1-22, January.
    • Handle: RePEc:igg:jhisi0:v:18:y:2023:i:1:p:1-22
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