Fuzzy-based driver monitoring system
Harshitha, Bhoomika HS, Ganavi RN, Anagha BS, Monika
Abstract—This paper presents an all-around approach to enhancing road safety through a fuzzy driver tracking system integrated with VANET technology, IoT devices, and hardware wristbands. The increasing prevalence of road accidents is caused by factors such as driver fatigue, health disorders, or inattention to this system, which effectively detects and responds to such situations and provides real-time solutions. It comes with advanced sensors The hardware wristband continuously monitors the driver's pulse, like heart rate. Body temperature and movement Patterns for identifying signs of sleepiness abnormal health parameters or erratic behavior are processed using fuzzy logic algorithms. The in-car software interface gets real-time information from the wristband, processes it, and unlocks several safety protocols, which include visual notifications, buzzing alerts, and communication with other vehicles through VANET technology. The system also logs highly detailed records of incidents it detects, which will be analyzed later for long-term behavioral profiling. It will leverage the power of IoT-enabled cloud storage to optimize data management and analysis, thus fostering continuous improvement in traffic safety protocols. The integration of fuzzy logic ensures accurate and context-sensitive decision-making, addressing uncertainties inherent in dynamic driving environments. Meanwhile, the utilization of VANET enables seamless communication between vehicles, enhancing collective road safety. This paper provides an in-depth exploration of the system's architecture, design principles, algorithms, implementation strategies, and expected outcomes. It has several aspects, thereby changing the face of drivers' safety through reduced accidents, faster response mechanisms to accidents at a given time, and thus a safer ecosystem of transport for all other road users. This system represents a crucial step forward in intelligent transportation technologies. Combining the features of real-time monitoring, predictive analytics, and robust communication networks, the solution not only mitigates short-term risks but also works toward long-term safety improvement. The modular design adapts to different vehicle types and driving environments, making this a scalable solution for widespread adoption. This paper outlines the capacity of the system to transform traditional road safety mechanisms into proactive and intelligent ones.
Index Terms—Internet of Things (IoT), secrecy enhancing, smart cities, space shift keying (SSK).
