TRAFFIC DENSITY MONITORING AND CATTLE MENACE ALERT SYSTEM USING IOT

Rashmi P. Nimkar, Chandrashekhar N. Deshmukh

Abstract: In today’s Life we have to face one serious problem of traffic congestion in modern cities. The main reasons for increasing traffic jam is the high volume of vehicles and the inadequate infrastructure. It is necessary to efficiently manage the traffic flow by completely utilizing the existing capacity of the road. Another serious problem is the presence of animals on the road. Stray cattle blocking the driveway triggers collisions and accidents. A Smart traffic control system can solve these problems by continuously detecting and adjusting the timing of traffic signals according to the actual traffic load such a system called as intelligent traffic control system. In the era of technology, intelligent and adaptive equipment should be used to control the traffic. In this paper we proposed a Traffic Density Monitoring and Cattle Menace Alert System Using IoT. This smart traffic monitoring and controlling system is use to decrease the number of traffic-jam, vacating the road which has more density of vehicles by synchronizing the traffic signals as well as to develop an alert system once the animal gets detected. The proposed system uses a concept of Internet Of Things application platform ‘ThingSpeak’ for analysis of traffic density monitoring

Keywords: Traffic Congestion, Image Processing, Internet of Things, Thingspeak, Cattle Detection

DOI: https://doi.org/10.15623/ijret.2018.0708012