Zigbee-Based Collision Avoidance System in Blind Spot and Heavy Traffic using Ultrasonic Sensor

Abstract

Objectives: In India, the frequency of traffic collisions is among the highest in the world. Most of the accidents are due to blind spots which cannot be directly observed by the driver at control. The paper proposes a collision avoidance system due to blind spots and in the case of heavy traffic scenarios. Methods: The proposed system avoids collision in blind spot and in heavy traffic and does not follow the path of preceding vehicle if the space between detector (Our Vehicle) and host vehicle is in proximity. For implementation of the system, Arduino boards and other drivers along with ultrasonic sensor are used and ZigBee is used for data communication between two nodes. Findings: The Blind Spot Detection (BSD) procedure based on wireless detecting technique ZigBee is proposed to monitor the blind spot region for the presence of interferences, automobiles, or other objects with the aid of ultrasonic sensor. For detecting the vehicles in blind spot, Neural Fuzzy Logic is used for the proposed system. The connection models for the developed system is identified and proposed. The paper also discusses about the advantages of ZigBee over other wireless technologies. The Wireless Technology identified is ZigBee which will lower the wiring connection in the vehicles. Applications: This method is useful to avoid collision in blind spot and also lowered the wiring connection in the vehicles by using ZigBee. Hence, the proposed system discovers its application in real time and gives collision free environment. The system is evaluated for different driving scenarios and results are discussed.