Traffic congestion

Identification of a congestion is one of the key tasks of optimizing traffic in a modern city. Congestion detection allows you to take timely action and prevent significant traffic disruptions even during peak hours.

Solution metrics

90%
Recognition accuracy
Accuracy measured on test videos in the daytime
< 1
Number of false positives per day per camera
≥ 10 FPS
Frames per second
camera requirement
≥ HD
Recommended video stream quality
20 px
Object size requirements in the frame
per vehicle

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Technology Description

Traffic congestion occurs when the volume of traffic exceeds the road's capacity. The Roadly video analytics system recognizes traffic density and a sudden decrease in capacity. Recognition is performed separately for each traffic lane.

The congestion detection principle is based on analyzing the number of vehicles in a lane and their speeds. If the system identifies at least a specified number of vehicles within the lane moving at a speed below the designated limit for that road segment, it generates a "Congestion" event. Roadly also allows for setting reaction times to avoid generating events too frequently in areas where traffic conditions change intensively.

Roadly enables the real-time identification of congestions and notifies operators promptly upon their occurrence. Timely detection facilitates swift actions, preventing complete traffic standstill on road sections or the formation of extensive traffic jams.

Screenshots and demo videos

Features of the technology

Traffic flow speed drop detection

Traffic flow densification detection

Traffic flow density accounting

Customizable reaction time