Daegu City Launches AI-Based Smart Traffic System Development

[Asia Economy Yeongnam Reporting Headquarters Reporter Yeo Jong-gu] Daegu City has been selected as a target city for the ‘Smart City Challenge’ project promoted by the Ministry of Land, Infrastructure and Transport, and will begin full-scale construction of an artificial intelligence (AI)-based smart traffic system.

At the ‘2022 Smart City Challenge Main Project Selection Evaluation Committee’ held at the Korea Research Institute for Human Settlements on the 7th, Daegu City confirmed the possibility of large-scale citizen participation and improvement of traffic flow, and received high evaluation for the collaboration model among related organizations. As a result, it secured 4 billion KRW in national funding.

Since June last year, a preliminary project has been underway, with a consortium of six companies including local company Emotion, Kakao Mobility, and the Korea Advanced Institute of Science and Technology (KAIST).

Stakeholder organizations such as Daegu Metropolitan Police Agency (signal control support), Daegu Metropolitan Office of Education (providing school commute times), Daegu Fire Safety Headquarters (emergency vehicle dispatch support), Daegu Road Traffic Authority (signal control evaluation), and TBN Daegu Traffic Broadcasting (on-site support by traffic reporters) participated in this collaborative project and achieved significant results.

The preliminary project target area was 19 intersections on Seodaegu-ro and Taepyeong-ro sections. In the large-scale signal optimization demonstration conducted in February targeting about 320,000 vehicles, travel speed was improved by up to 15%.

Private navigation provided detour route guidance based on traffic information, as well as services for child protection zones and accident-prone areas, and the possibility of securing golden time for 119 emergency dispatch vehicles was also confirmed.

In this project, Daegu City will apply a signal control program that provides ▲ customized signal services by time and day of the week ▲ real-time TBN traffic broadcasting support during emergency vehicle dispatch ▲ signal system reorganization to prevent speeding ▲ signal policies that prioritize public transportation as the citizens’ mode of transport, and will supplement plans for linkage with the data hub and activation of citizen participation living labs, which were pointed out as necessary improvements by the evaluation committee.

Mayor Kwon Young-jin of Daegu said, “We will successfully build an AI-based smart traffic system to solve the traffic problems facing Daegu and create a sustainable smart city through data-driven policy decisions.”

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