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Seoul uses artificial intelligence and AI technology to identify and improve congestion in real time.
Seoul Transportation Corporation has decided to develop an 'AI-based real-time congestion assessment and operation support system' and plans to order the service during this month.
We plan to invest 5 million won in service costs to complete the development of the system by the end of the year, and then evaluate its reliability through further demonstration to decide whether to officially introduce it.
Currently, the construction uses transportation card boarding and drop-off information, load sensors, and mobile communication data to measure congestion on subway lines 1 to 8 and notify passengers to induce them to be dispersed to less crowded compartments.
However, there was no specific measurement method or indicator to distinguish the severity of congestion in history, so detailed countermeasures were limited.
The level of congestion in the history of the Seoul subway can be measured by the results of regular traffic surveys that determine the level of congestion in trains.
According to the survey, the average congestion on Lines 1-8 as of the end of last year was 145.7%, up 19.2019 percentage points from 11, before COVID-5.
The congestion rate by route is 1.107% for Line 8, 2.172% for Line 3, 3.154% for Line 8, 4.185% for Line 5, 5.140% for Line 9, 6.106% for Line 7, 7.160% for Line 6, and 8.136% for Line 8.
Compared to 2019, the increase was 1.2 percentage points for Line 2, 2.0 percentage points for Line 1, 3.11 percentage points for Line 0, 4.23 percentage points for Line 8, 5.33 percentage points for Line 6, 6.0 percentage points for Line 65, 7.15 percentage points for Line 0, and 8.5 percentage points for Line 6.