Adaptive traffic control

BMA/BMC to control traffic light signaling.

Our BMA with the associated features enables you to communicate with traffic signal systems via relays (potential-free contacts) in combination with the BMC . The following applications can be covered in this way:

"Smart Prio System": Prioritization of certain traffic classes and ensuring smooth traffic behavior in real time (e.g. environmentally sensitive control, public transport registration, such as pedestrians, cyclists, e-scooters through to heavy traffic)

  • Simplify infrastructure maintenance: Replace multiple induction loops with a single BMA BMC. The installation does not require any excavation work and significantly reduces maintenance costs.

What needs to be considered for a successful analysis?

In the table below you will find detailed information on the requirements, settings and positioning of the camera

Setting
Recommended

Pixels per Meter (PPM)

Pixels Per Meter is a unit of measurement used to define the amount of potential image detail a camera provides at a given distance.

>30 PPM (Object classes car, truck)

>60 PPM (object classes person, bicycle, motorbike)

Using the camera parameters defined below ensures that the minimum required PPM value is achieved. Tip: Use the lens calculator from Axis or a generic lens calculator.

Video resolution

1280 × 720 Pixel

Video protocol/Codec

RTSP/H264

Focal length

2.8 mm - 12 mm

Camera mounting - distance to object center

Object classes car, truck:

5-30 m (2.8 mm Focal length)

35-100 m (12 mm Focal length)

Object classes person, bicycle, scooter:

3-12 m (2.8 mm Focal length) 25-50 m (12 mm Focal length)

Camera mounting - mounting height

Up to 10 m

Note: Mounting higher can help to minimize obstruction by large objects.

Camera mounting - vertical angle to the object

<50°

Note: The correct vertical angle to the object should be achieved by setting the correct distance to the vehicle and the optimum mounting height.

0° - 90° Note: An angle of approx. 15° provides better results for classification, as more object details are visible (e.g. wheels, axles, etc.)

Specifications for the environment

Object speed

< 40 km/h

Day/Night/Lighting

During the day/well lit/night vision

Indoor/outdoor use

Outdoor application

Expected accuracy(detection + classification, if all environmental, hardware and camera requirements are met)

detection > 95 % Classification of main classes: > 95 % Classification of sub classes: > 85 %

Hardware specifications

Supported products

BMA BMC

Frames Per Second (fps)

12

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