Intelligent Traffic Management System Using Industry 4.0

Abstract

AbstractTraffic is the most drastic effect of this ever-increasing urbanization, the inclusion of cutting-edge technologies in traffic management systems will be effective in reducing traffic-related issues, and thus the commute time. In mid-2020, urbanization stood at around 56%. This rapidly increasing traffic not only affects us directly but has severe implications on our mother nature by unbalancing the biological life cycle and thus has indirect effects on us too. According to a research, urbanites lead more connected lives than their rural counterparts, so a modern traffic management system is the need of this era. Our proposed system uses cutting-edge technologies like Internet of things and has a genuine approach to minimize traffic. This system uses algorithms to manage all kinds of traffic issues prevailing at the time, in a very precise manner. The system will help in overcoming the flaws made by previous traffic management systems. In this system, traffic density is taken as input from the cameras which is then abstracted via digital image processing technique (called as DIP which is a step ahead the analog one) and sensors data, resultantly giving the output as a signal management. Algorithms can be applied for predicting the density of traffic for assisting and planning to subsequently diminish the traffic congestion. The system has a feature to prioritize the emergency vehicles like fire brigade, police vehicles and ambulances by the use of RFID tags in those vehicles. In case of conditions like firebreak out or explosion, sensors specific to fire and smoke gets deployed for detection of such conditions.KeywordsSmart vehicleIoTRFIDTraffic management