KakaoT Provides 'Parking Lot Full Capacity Prediction Information' Using AI

[Asia Economy Reporter Buaeri] Kakao Mobility announced on the 28th that it has introduced an artificial intelligence (AI)-based 'Parking Lot Full Occupancy Prediction Information' service. It is the first of its kind among domestic parking app services.

The parking lot full occupancy prediction information analyzes big data accumulated in Kakao T Parking to inform the expected congestion level of parking lots by time slot. It is a service that helps users conveniently use parking lots after arriving at their destination.

By using this service, users can check the congestion level of parking lots near their destination in advance before departure, reducing waiting time. It also alleviates the inconvenience of not being able to use the parking lot due to full occupancy upon arrival.

The parking lot full occupancy prediction information service is initially provided at 43 major public parking lots in the metropolitan area, including Pangyo Public Parking Lot and Transfer Parking Lot, Jeongja Station Transfer Public Parking Lot, Guro Art Valley Underground Public Parking Lot, as well as parking lots at major convenience facilities such as Yongin Severance Hospital, Seoul Arts Center, Hyundai Department Store Pangyo Branch, and Everland.

Kakao Mobility plans to significantly expand the number of parking lots where the full occupancy prediction information can be used within this year.

The parking lot full occupancy prediction information is available within the parking service of the Kakao T app. For parking lots where this information is provided, users can check the expected congestion level by time slot for the current and next day in the 'Full Occupancy Status' menu at the top right of the parking lot information.

Additionally, it is linked with Kakao Navi's 'Future Driving Information' feature, providing users with estimated travel time to the parking lot based on the time they start searching and their location, as well as recommended departure times to use the parking lot before it becomes full.

Yoo Seung-il, head of the Intelligence Division at Kakao Mobility, said, "The core is resolving uncertainty about parking lot usage by linking physical parking space information with online data." He added, "We plan to expand the target parking lots where full occupancy prediction information can be used and to broaden the function that recommends alternative nearby parking lots when full."

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