As you might know, our AI automatically extracts all the information from the video footage so that you can get all kinds of metrics and visual maps for your further traffic analysis. Therefore, you have to do one more thing after your video is successfully processed and ready to analyze - Define the scene. But don't worry you need to do it only once per each camera view. After you are done, you can upload more videos to your camera and get the traffic data easily via a few clicks to your widget's dashboard.

STEP 1 - Place the virtual zones and lines 

In the "Describe page" draw the virtual zones to all approaches you want to include to your traffic analysis. Alternatively, draw lines also representing the counting gates. It's important to take into account the displayed trajectories that help us to draw the zones or lines correctly. If you draw the zones that do not cover all the needed trajectories, the traffic data won't be accurate in the following traffic data analysis. 

See the image below, it's a one possible way how to correctly place the zones to cover all the approaches needed for the further scene definition via traffic movements.

STEP 2 - Define Traffic Movements, Events, Scenarios

Traffic Movements

The first and the most common way how to define your traffic behavior is by defining the traffic movements. Movements allow you to filter traffic objects (individual vehicles or pedestrians) between two or more areas in the specific direction (order). This is useful mainly when doing the TMC reports.

For instance, the example below filters the traffic objects (visually trajectories) that were crossing the zone1, then zone2 and then zone 3 in that specific order. For more information, click below and read the full article discussing in detail the movements.

Events

The second option how to define some specific traffic behavior is via Events. Events allow you to filter traffic objects occupying a selected zone for the specified amount of time. This is useful mainly when analyzing the traffic volume in correlation with the occupancy time at lights or in the middle of the intersection to find out how fluent the traffic is when the green is on.

For instance, the example below filters the traffic objects that were staying in the middle of the intersection (zone5) for 5 to 35 seconds. For more information, click below and read the full article discussing in detail the events.

Traffic Scenarios

The third option how to define the traffic behavior is to create a traffic scenario that allows combination of already created movements and events. The combination is possible via simple logic operators AND, OR and THEN. With this tool you can easily filter the traffic trajectories for the most complex traffic use cases you might did not think it is possible to model and get the data from. 

For instance, the example below filters only the traffic objects that followed one of the defined traffic movements and that were staying in the middle of the intersection for more than 15 seconds. For more information, click below and read the full article discussing in detail the traffic scenarios.

Getting the traffic data

Finally to analyze the traffic data defined by your movements, events or scenarios, create appropriate widgets on the Analyze page. See our guide on How to create widgets for the traffic volume, travel time, peak periods or various visual maps to get the most of the Video Insights platfrom.

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