How we celebrate World Bicycle Day

This day is especially dear to our hearts, as many colleagues cycle to work, and thanks to our new downtown office, hopefully this number will only increase in the future - if the weather remains nice. But we have even more things to be happy about as our bicycle counting pilot project was successfully completed with the Hungarian Public Road Nonprofit Pte Ltd Co. at the Pest side of Megyeri bridge. The purpose of the project was to improve measurement data quality by providing automated, real-time analytics. This will help to carry out road developments tailored to bikers' needs (traffic lights planning, construction of new sections). Our technology is unique worldwide, no similar system has been implemented before in other countries. With the help of video analytics based image processing, we count cyclists, distinguishing them from scooters and pedestrians.

Recent biking habits and trends seem to continue this year, as experience shows that more and more people use their bikes, even on weekdays. Measuring environmental impact (air and noise pollution), as well as how the bicycle and pedestrian network can relieve road network traffic can help public institutions prepare targeted developments. It can also contribute to the promotion of healthy lifestyles and alternative modes of transport to support the country's efforts for sustainable development. Since 2018, the Hungarian Public Road Nonprofit Pte Ltd Co. has been managing over 1,000 km of bicycle paths nationwide. The company's primary objective is to operate a network of bike paths that can be safely used by the public. In addition to the existing sensor-based (ultrasound, infrared, induction) and manual measurement technologies in use, Hungarian Public Road wanted to test a new approach to data collection, and they did so with our help. Our bicycle counting software counts, categorizes and determines the direction of bicycle traffic through camera stream, in compliance with personal data protection regulations. The system operates without sensors placed under the pavement or elsewhere, only by processing the recorded camera images. The video analytics software is able to detect all the decisive parameters of traffic (vehicle, bicycle or pedestrian) within the installed camera's region of interest.