Abstract
Among the various factors affecting long distance driving are the risks imposed by a driver’s health, which could result in road accidents. Internet of Things (IoT) and mobile health (mHealth) technologies are increasingly being recognized for their role in monitoring various health parameters of such drivers. IoT devices such as wearable devices could be used efficiently in vehicles by professional long-distance drivers. However, the adoption of such technologies is limited by security and privacy issues. This paper proposes a novel vehicular alarm notification system by integrating mHealth data of the driver with vehicular data for improving vehicle safety. The purpose of the system is to minimize road accidents by integrating the emerging mHealth technologies with the vehicular information system (VIS) using wireless body area network sensors and devices in a secure and lightweight framework. An integrated secure system could facilitate adoptability to provide timely notifications of emergencies to drivers in order to avoid road accidents and take appropriate follow-up actions. Furthermore, the information gathered by the integrated system could assist health service providers to address the driver’s root cause of potential health risks. The lightweight security framework adopted in this study is based on an efficient trust model that can improve the adoption of an mHealth integrated vehicular alarm notification system. Our contribution is to provide a real-time alarm notification service to avoid potential traffic accidents by monitoring the health status of long-distance drivers, achieved through incorporating an affordable and lightweight security system to secure health data transfer.
Highlights
Road traffic injuries have increased considerably and contribute to one of the main causes of death across all age groups worldwide, as reported by the World Health Organization (WHO) [1].Long distance professional truck drivers have been identified as a high-risk group vulnerable to an increased risk of road accidents
The first test involved transmitting the message without any authentication process, while the second transmitted between two entities in themessage mHealthusing network as PUBSprocess
This paper contributed an idea of an integrated mobile health (mHealth) and vehicular information systems (VIS) to predict and notify alarms
Summary
Road traffic injuries have increased considerably and contribute to one of the main causes of death across all age groups worldwide, as reported by the World Health Organization (WHO) [1]. Long distance professional truck drivers have been identified as a high-risk group vulnerable to an increased risk of road accidents. A report claims that truck drivers have a life expectancy 10 to 15 years lower than the average male in the United States [2]. Due to a stressful workload with long periods of sedentary driving, health issues related to these drivers could result in road accidents. With the advancement of Internet of Things (IoT) and mobile health (mHealth) technologies, intelligent wearable devices could help monitor the health parameters of long-distance drivers in real time.
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