Abstract
In general, the mental state of a driver is a crucial aspect when a vehicle is on the road. In this study, we design a vehicle safety monitoring system based on the Internet of things and physiological characteristic identification. The developed monitoring system, which is based on Zigbee, comprises two parts: (1) the network coordinator and router, which are installed on the road, and (2) the network-end devices, which are installed in the vehicle. The queen honey bee migration algorithm is used to improve the performance of the Zigbee network. Moreover, a fuzzy controller with a photoplethysmography signal is used as input to analyze the mental state of the driver. The developed system provides the driving status, such as normal, slow, pause, or stop.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
