IP Products

Traffic control

by Mark Rowe

Recently, several traffic light systems at busy crossroads in Serbia are driven with the help of RIVA cameras with integrated video analytics.

Adaptive traffic control is often used to manage constantly increasing traffic. The traffic signals are adjusted to the traffic demand. Thus, flows are improved, especially during rush hours. Long waiting periods in the middle of the night at an empty crossroad because of a red traffic light belong to the past.

There are several ways to bring in adaptive traffic control. The German company RIVA says that its cameras with intelligent video analytics offer, in contrast to inductive loops, no complex construction for the installation because the IP cameras are mounted on the traffic light poles.

Video analytics the manufacturers claim can be installed quickly and easily.

For adaptive traffic control in Serbia several RIVA RC6802HD Mini-Bullet cameras are used. These cameras are claimed to be suited for indoor and outdoor as well as day and night usage. Each camera includes eight built-in high power IR LED illuminators with an illumination distance up to 10m. The infrared light is automatically adjusted according to the brightness of the scene. A frame rate of up to 30 fps at a resolution of 1920×1080 pixels (Full-HD) is achieved.

The Mini-Bullet cameras offer features like a micro SD card slot for local recording, dual video stream, ONVIF-compatibility, PoE, D-WDR. As in all the company’s devices the standard version of the intelligent video analytics, powered by VCA Technology, is integrated in the RC6802 as a standard feature. The cameras were equipped with the presence and dwell filter for this project.

Mounting and installation of the RIVA cameras was by the company SELMA. Founded in 1989 in Subotica, it was one of the first private companies in Yugoslavia.

After installation of the intelligent cameras and the analytic filters, incoming objects can be detected. The video analytics differentiates between cars, motorcycles, bicycles and persons. Waiting time at the crossroads and the travel direction of moving vehicles is recognized.

If a pre-defined number of vehicles queue at a traffic light, it can be switched from red to green. If vehicles queue too long and have to wait several traffic light phases to cross the road, the traffic light can be switched as well. Because data is transmitted in real-time the direct adjustment of all traffic lights to the actual traffic demand is no problem.

Beside the improvement of traffic flows, adaptive traffic control offers many other advantages. Reduced waiting periods and less frequent stops at traffic lights significantly reduce the environmental impact, as Co2 emission and energy consumption decrease. Also the noise level comes down due to the avoidance of constantly start-ups and slow-downs. Not only drivers can reduce their fuel costs also logistic companies can work more efficiently due to reduced driving times and fuel costs.

If pedestrian traffic lights are driven adaptively as well, road accidents may fall; because pedestrians who have to wait a long period of time at a red traffic light tend to ignore it, which leads to accidents with other users.

Beside the direct adjustment of the traffic lights the video analytics can be used to collect data about the daily traffic. These data can be used for longtime analytics. The results of these analytics can help with town planning, to determine speed limits or to create statistics. Also relationships with other factors like weather, holidays or special events can be analyzed.

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