본문 바로가기
bar_progress

Text Size

Close

Gyeonggi Province Launches GR-PMS... AI to Manage 4,000 km of Road Conditions

Gyeonggi Province Implements Proactive Road Maintenance
Aging Roads Analyzed with AI to Address Potholes and Cracks in Advance

Gyeonggi Province announced on July 20 that it has established the "Gyeonggi Road Pavement Management System (GR-PMS)," which analyzes road pavement conditions using artificial intelligence (AI), to proactively address issues such as potholes and cracks.

Gyeonggi Province Launches GR-PMS... AI to Manage 4,000 km of Road Conditions Exterior view of Gyeonggi Northern Provincial Police Agency. Provided by Gyeonggi Province

The Gyeonggi Road Pavement Management System (GR-PMS) is an independently developed system by Gyeonggi Province, representing an upgrade from the existing Pavement Management System (PMS).


Previously, the province introduced the Pavement Management System (PMS) in 2017. Unlike traditional methods that relied on visual inspection, PMS is a system that manages all stages of road pavement?planning, design, construction, evaluation, maintenance, and reconstruction?scientifically and systematically using a database (DB).


The province incorporated AI into this system, began AI-based analysis in 2020, and promoted the construction of big data. From 2023, it advanced the AI capabilities, culminating in the completion of the Gyeonggi Road Pavement Management System (GR-PMS).


The province collected and analyzed a wide range of survey data on 51 routes (4,349 km/lane basis) of provincial and national roads under its management, and developed its own pavement condition index, the Gyeonggi-do Pavement Condition Index (GPCI). By continuously monitoring the condition of Gyeonggi roads over several years, the province has been able to propose analytical models for each road section.


What differentiates GR-PMS from other local governments' PMS analyses is its ability to visualize changes in the pavement condition index (GPCI) for each section as graphs, presenting the repair sections and damage status by year. This allows road management officials to easily understand the analysis data and quickly grasp changes in the condition of repair sections at a glance.


Specifically, the system groups sections into three management models: intensive management, partial repair, and continuous management, and suggests appropriate management strategies. "Intensive management" refers to sections that have shown a rapid trend of deterioration and a high average crack rate (such as potholes) within one year, raising concerns about the degradation of the base pavement. "Partial repair" refers to sections where the overall road condition is maintained but repairs are needed in certain areas. "Continuous management" refers to sections where the pavement condition is considered good, thus clarifying the management approach for each category.


According to the 2024-2025 survey and analysis, out of 51 routes in Gyeonggi Province, 6 routes were classified as requiring intensive management, 28 as needing partial repair, and 17 as suitable for continuous management. These analysis results are expected to be reflected in the road pavement maintenance budget of the Gyeonggi Province Construction Headquarters, enabling more efficient pavement management.


In addition, the province plans to transfer its survey and analysis technology to cities and counties, so that this system can be applied to roads managed by local governments as well.


Kang Seongsup, Director of Construction for Gyeonggi Province, stated, "Most provincial roads in Gyeonggi have been in use for more than 30 years and are aging, making proactive prediction and timely, targeted repairs more important than ever. With the newly established GR-PMS survey and analysis platform, we will take the lead in proactive road pavement maintenance in Gyeonggi Province and further promote the sharing of technology with all 31 cities and counties."


© The Asia Business Daily(www.asiae.co.kr). All rights reserved.

Special Coverage


Join us on social!

Top