Potholes accelerate the pavement deterioration rate, posing a significant challenge to the Pavement Management System (PMS). Furthermore, potholes severely undermine road safety and traffic efficiency by causing vehicle damage and inducing evasive maneuvers. However, conventional manual maintenance methods are limited in their ability to respond rapidly to such degradation due to the inevitable time lag spanning from pothole occurrence and detection to repair. To address this, this paper proposes a fully automated framework that integrates real-time detection via crowdsourcing with robotic repair. In this paper, we quantify total delay times, comprising reporting, waiting, and repair phases, of 15 major routes in Jeju Island using an one-dimension corridor model. Simulation results demonstrate that the proposed system reduces the detection-to-repair time by over 90%, effectively eliminating administrative waiting times and significantly decreasing the number of residual potholes. This indicates that the proposed strategy can enhance the overall efficiency of the transportation network by minimizing the delay time and the number of residual potholes. By transitioning from methods reliant on manual labor to an operational model driven by data and operating in real time, this study confirms the technical and economic feasibility of the proposed system in optimizing the PMS, thereby simultaneously ensuring road safety and minimizing social costs.

ABSTRACT
1. 서론
2. 자동화 시스템 개념 및 구성
    2.1. 클라우드 소싱 기반 포트홀 탐지 기술
    2.2. 무인 포트홀 수리 기술
    2.3. 통합 시스템 절차
    2.4. 기술-경제적 타당성 및 제주도 환경 분석
3. 방법론
    3.1. 기존 인력 기반 수리 방식
    3.2. 자동화 탐지 및 수리 방식
4. 수치 연구
5. 결론
감사의 글
REFERENCES

• 신재민(한국과학기술원 건설및환경공학과 석사과정) | Shin Jaemin
• 정윤경(한국과학기술원 녹색성장지속가능대학원 석사과정) | Jung Yunkyeong
• 이영준(제주한라대학교 인공지능학과 부교수) | Lee Youngjoon
• 이진우(한국과학기술원 건설및환경공학과 부교수) | Lee Jinwoo Corresponding author