Set-up Journey Time & Traffic Flow
Detailed information on the solution for Journey time and area-wide traffic flow in terms of data generation, camera set up and Analytics options.
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Detailed information on the solution for Journey time and area-wide traffic flow in terms of data generation, camera set up and Analytics options.
Last updated
Was this helpful?
Next to the traffic frequency at given locations, you are wondering about statistics on how long the vehicles take from one to another location and how the traffic flows across your city and municipality. With this solution, you can generate that data with a single sensor solution from SWARM.
For this use case, SWARM software is providing you with the most relevant traffic insights - The counts of vehicles including the classification of the SWARM main classes can be covered. On top, you have the opportunity to add a second counting line, calibrate the distance in between and estimate the speed of the vehicles passing both lines. By combining more sensors in different locations the journey time as well as the statistical traffic flow distribution will be generated.
The journey time and traffic flow distribution can be generated for vehicles only (car, bus and truck).
Find detailed information about camera requirements/settings as well as camera positioning in the table below.
Pixels Per Meter is a measurement used to define the amount of potential image detail that a camera offers at a given distance.
250 PPM (vehicle)
Using the camera parameters defined below ensures achieving the minimum required PPM value)
Camera video resolution
1920x1080 pixel
Camera video protocol/codec
RTSP/H264
USB 3.0/UYVY, YUY2, YVYU
Camera Focal Length
min. 3.612 mm motorized adjustable focal length
Camera mounting - distance to object center
Camera mounting height
Camera mounting - vertical angle to the object
<40°
0° - 20°
Dahua
IPC_HFW5442EP-ZE-B
HikVision
DS-2CD2646G2-IZS
Object velocity
< 80 km/h
Day/Night/Lighting
Daytime/Well illuminated/Night vision
Indoor/Outdoor
Outdoor
In this technical documentation, accuracy refers to the penetration rate of a single sensor, which is the percentage of correctly identified license plates divided by the total number of vehicles counted during a ground truth count.
The current penetration rate for this use case is 60%, taking into account different day/nighttimes, weather conditions, and traffic situations. When calculating journey time between two sensors, approximately 36% of journeys are used as the baseline, which is calculated by multiplying the penetration rate of both sensors.
The accuracy is sufficient to generate data that can be used to make valid conclusions about vehicle traffic patterns and journey times.
Supported Products
VPX, P401, P101/OP101
Frames Per Second
25
Tip: Use the or .
5-20 meters Please consider that the zoom needs to be adjusted according to the capture distance. More details are in the .
3-8 meters Please follow the in detail.
Note: setting the correct distance to vehicle and camera mounting height should result in the correct vertical angle to the vehicle
Camera mounting - horizontal angle to the object
Make sure to place focus areas in a way that it covers enough space before an event trigger so that the model is able to "see" the objects for a similar amount of time as if the focus area wasn't there. The model ignores all objects outside a focus area so there is no detection, no classification, no tracking and no ANPR reading conducted.
You can visualize data via in different widgets.
If you would like to integrate the data in your IT environment, you can use the . In Data Analytics, you will find a description of the Request to use for retrieving the data of each widget.
