OPTIMAL ROAD AND STREET LIGHTING – ARTIFICIAL INTELLIGENCE FOR SMART MUNICIPALITY MANAGEMENT

 

 

 

 

 

 

 

Electricity prices are rising every year and this trend will continue. A significant percentage (around 18-20%) of energy is used for lighting roads and street. Therefore local governments will it find increasingly difficult to cover the cost of street lighting. That is why Gradis come out to help. Gradis has been specializing in road lighting design for years using its own artificial intelligence algorithms. The Polish start-up projects meet modern lighting standards and at the same time provide a 30% higher efficiency than manual projects. This is exactly why Ivano-Frankove Town Council is participating in Optimal road and street lighting – artificial intelligence for smart municipality management project.

  • For a long time we have been looking for a solution that will help to solve the rising electricity prices in Ivano-Frankove town. Gradis representatives presented us the whole process – for the return dedicated to our municipality but secondly based on Gradis experience. As a result we will achieve knowledge of how to get high and long-term energy efficiency, how to meet the lighting standards which means the safety of drivers, pedestrians and cyclists, how to ensure reduction of lighting pollution and inventory of lighting infrastructure based on an editable digital map which is the first step to building the concept of smart cities – said Ivan Semeriak, chairman of the Ivano-Frankove Town Council.

 

It is assumed that the transfer of knowledge and technology carried out under this project will cover the entire district with about 12 000 light points. Project team will include both Gradis employees and Ivano-Frankove Town Council representatives. The project has a positive impact on ecology because lower energy consumption means: less raw materials mining, less mining damage, lower CO2 emissions to the atmosphere.

  • As Gradis we cooperate with many municipalities in Poland and much often we hear about the importance of energy efficiency for them. From our experience we can assume that the ecological effect will be equally important for Ivano-Frankove Citizens because of the positive impact on the quality of live of the inhabitants. Also the design solutions themselves will ensure greater safety to road users – said Kamila Kotulska, general manager for sales and marketing.


Gradis has been specializing in road lighting design for years using its own artificial intelligence algorithms. The project documentation offered by Gradis is presented on digital maps and stored on servers located in the cloud, which ensures full resistance to servers failures. The documentation is available via the Internet from anywhere, using just a typical web browser. Gradis systems and the Gradis approach to tender procedures is an innovation on global scale, which has been repeatedly confirmed. In addition, Gradis supports local government units throughout the entire process of choosing the lighting supplier. The start-up systems have a deep scientific basis confirmed by numerous publications on the Philadelphia List.

Gradis projects meet modern lighting standards and at the same time provide a 30% higher efficiency than manual projects and local government, such as Ivano-Frankove Town, needs modern projects to ensure energy efficiency, safety and reduction of CO2 emission. The project is financed by the Polish Challenge Fund, an effective driver of innovation and change in the region. Optimal road and street lighting – artificial intelligence for smart municipality management project is implemented by the United Nations Development Programme (UNDP) through the Polish Challenge Fund, with the financial support of the Ministry of Foreign Affairs of the Republic of Poland.

 

If you are interested in the solution or Polish Challenge Fund, please use the following contacts:

UNDP, Programme Specialist, Polish Challenge Fund: katarzyna.rozeslaniec@undp.org

GRADIS: jaromir.dzialo@gradis.pl
Ivano-Frankove Town Council: i-fsr@ukr.net