SK Telecom announced on the 1st that it has commercialized a technology that analyzes carbon emissions from public transportation such as buses and subways, as well as private vehicles, in specific areas using its AI-based location analysis platform ‘LITMUS’.


The carbon emission analysis technology commercialized by SKT extracts data such as ▲means of transportation (bus, subway, general vehicles, etc.), ▲travel distance, and ▲speed analysis by travel purpose and section (average speed per 30 minutes) within a specific area through base station information and AI technology. Using this data, it analyzes precise carbon emissions in the area.

Conceptual Diagram of Carbon Measurement Using Litmus [Photo by SKT]

Conceptual Diagram of Carbon Measurement Using Litmus [Photo by SKT]

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According to government announcements, transportation means such as cars and subways account for about 14% of the total carbon emissions in South Korea, ranking after energy and industrial use. Considering carbon emissions when establishing transportation policies at the local government level can greatly help reduce overall carbon emissions. However, previously, there was no accurate method to identify data for specific areas, making policy formulation difficult.


SKT expects that providing this technology to local governments will assist them in establishing transportation policies that consider carbon reduction. SKT plans to apply the carbon emission analysis technology to the Busan Smart City development project and is actively discussing technology adoption with other local governments. Additionally, SKT will offer this technology as an open API through the SK Open API platform.


The data provided by SKT through the SK Open API includes ▲daily carbon emissions by administrative dong unit based on origin, destination, travel distance, and speed, along with analysis results of transportation means and travel purposes, ▲traffic volume, travel speed, stop time, transportation means, and carbon emission analysis results by road link unit (a unit managing nationwide roads divided into 100m to 1km segments), and ▲the proportion of eco-friendly vehicles such as electric and hydrogen vehicles for the two aforementioned data sets.



Ryu Tak-gi, head of SKT’s infrastructure technology division, stated, “SKT has already won the GLOMO Award at MWC 2023 for solving transportation, urban, and safety issues using ‘LITMUS,’ which utilizes base station information and AI,” and added, “Going forward, SKT will continue ESG management by leveraging its ICT and AI technologies to address social and environmental issues.”


This content was produced with the assistance of AI translation services.

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