SKT Launches AI-Powered Carbon Emission Analysis for Public Transportation and Private Vehicles
SKT Launches AI-Powered Carbon Emission Analysis for Public Transportation and Private Vehicles
  • Lee Jun-sung
  • 승인 2023.08.01 10:22
  • 댓글 0
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SK Telecom (SKT) announced on August 1 that it has commercialized a technology that analyzes the carbon emissions of public transportation such as buses and subways and private vehicles in a specific area using its AI-based location analysis platform "LITMUS". 

SKT's commercialized carbon emission analysis technology extracts data such as means of transportation (buses, subways, private vehicles, etc.), distance traveled, and speed analysis (average speed per 30 minutes) within a specific area through base station information and AI technology to analyze sophisticated carbon emissions in the area. 

According to the government, transportation such as automobiles and subways account for about 14% of total carbon emissions in Korea, the third largest portion after energy and industrial use. 

Therefore, considering carbon emissions from the beginning of transportation-related policies at the local government level can help reduce overall carbon emissions, but there has been difficulty in establishing policies because there is no way to accurately identify data for specific regions. 

By providing this technology to local governments, SKT expects to help them establish transportation policies that take carbon reduction into account. 

SKT plans to utilize the carbon emission analysis technology in the Busan Smart City project and is actively discussing the introduction of the technology with other local governments. In addition, SKT will provide the technology as an open API through SK Open API. 

SKT will furnish data via the SK Open API, comprising the following information:

Daily carbon emissions, travel mode, and purpose of travel categorized by the starting point and destination. This data will be provided in the same unit, along with travel distance and speed.

Detailed data on travel volume, travel speed, stopping time, travel mode, and carbon emissions for each road link.

The proportion of eco-friendly vehicles, including electric and hydrogen vehicles, for the aforementioned two types of data.


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