Raspberry Pi controlled Traffic Density monitoring system

Abstract

Raspberry Pi controlled Traffic Density monitoring system. Raspberry Pi is a single board computer which can be effectively used for multi-functionalities. Here is the one of the ways of using this for multiple purposes. It is used for traffic surveillance purpose where the traffic is continuously monitored and viewed through live streaming. In addition to this, it is used for detecting the traffic density and gives the traffic report to the travelers. Here we are monitoring the traffic ,based upon the density of the vehicles on each side the time period for that side changes automatically, for eg : If the density is low on a particular side the time period for that side is normal, if the density is medium the time period for that side will automatically increases ,if the density is high the time period will automatically increase compared to normal density , after finishing the time period the signal will pass to other junction .Here time period means time given to green light to glow to that particular side The density of vehicles of each side can be identified through using IR sensors Traffic for each side can be monitored by live streaming for this we are using a usb camera interfaced to pi3 , by rotate camera 360 degrees , one step 90 degrees In raspberry pi3 are a great choice for traffic sensing because it is equipped with a variety of sensors such as wi-fi, L293D,IR sensors ,DC gear motor ,Camera and microphone. These sensors can be exploited to collect traffic data. This traffic report is updated periodically and displayed on the screens installed at the public places.

Traffic Control System and Technologies: A Survey

“…Undeniably, embedded systems provide cost efficient solutions to computation at nodes while also being structurally small and providing most of the functionalities that a modern computer can provide whilst also accommodating the said equipment. Sk Riyaz Hussain, et al [4] in their paper have considered the idea of monitoring traffic density through Raspberry Pi. They have measured the density of traffic by differentiation between white and black pixels.…”

Internet-of-Video Things Based Real-Time Traffic Flow Characterization

“…However, these solutions are constrained by the computational limitations of single board computers (SBC) such as the Raspberry Pi (RPi). Thus, they are only able to provide vehicle count [14]- [16], vehicle count, and average speed [17], or vehicle count and type [18]- [21].…”

Sky Monitoring System for Flying Object Detection Using 4K Resolution Camera

“…Methods employing images [ 8 , 9 , 10 , 11 ] have likewise been proposed, as we can see from the fact that image processing is used in various fields [ 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. These methods have gained superiority, as they do not affect the monitoring targets or the surrounding environment and allow for systems to be built at a comparatively lower cost.…”