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Smart Health Technology Model for Adoption of IoT in Automobiles for Driver's Safety

Afreen Iqbal, Muhammad Ehsan Rana

20222022 International Conference on Decision Aid Sciences and Applications (DASA)10 citationsDOI

Abstract

Evolution of transport systems is going side by side with the human history. Nowadays, it has become hard to imagine a life without a vehicle. To accommodate the enormous growth in population, the number of vehicles also have been increased rapidly. Apart from providing convenience, this has also resulted in increased number of road accidents and deaths. This research is focused on adoption of IoT in automobiles for driver's safety to overcome the number of road accidents. This research proposes a smart health technology model that consists of an IoT based steering wheel equipped with the sensors and cameras as well as the architectural description of implementing it. The architectural model provides a communication framework between driver, service provider, patrolling police, ambulance service and the mobile application users in the nearby cars. Authors have used the literature review and expert interviews as the basis of collecting input and applied tool-based data analysis techniques to reach conclusions. Authors have also performed the validation of the model using expert review to ensure that the proposed architectural model is generally acceptable and can provide the reflection of real-world requirements.

Topics & Concepts

PatrollingComputer scienceService (business)Reflection (computer programming)Transport engineeringIntelligent transportation systemComputer securityInternet of ThingsEngineeringEconomicsProgramming languageEconomyLawPolitical scienceIoT and GPS-based Vehicle Safety SystemsIoT and Edge/Fog ComputingInternet of Things and AI
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