A Study on the Effectiveness of Smart School Zone Systems in Child Protection Areas

DongHyeop Kim; Jin-Tae Kim

doi:10.7470/jkst.2025.43.6.789

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2025 Vol.43, Issue 6 Preview Page Next Page

Article

A Study on the Effectiveness of Smart School Zone Systems in Child Protection Areas 어린이 보호구역 내 스마트스쿨존 시스템의 효과 분석 연구

31 December 2025. pp. 789-800

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Abstract

Traffic accidents within child protection zones continue to occur at a relatively high frequency, attributed to a combination of factors such as children’s unpredictable behavior, drivers’ lack of awareness, and the limitations of static safety infrastructure. As a solution to these issues, the integration of AI-based video recognition technologies and real-time warning systems—referred to as Smart School Zone Systems—is increasingly being adopted. This study conducts a quantitative analysis to empirically evaluate the effectiveness of Smart School Zone systems in improving traffic safety within these zones. The analysis targets systems installed around elementary schools in Anyang City, Gyeonggi Province. Data were collected through real-time video detection before and after system deployment for the following service features: speeding alerts, illegal parking guidance, stop line violation warnings, and jaywalking detection. Based on these data, metrics for each service feature were analyzed, and statistical significance tests were conducted to assess changes in traffic and pedestrian behaviors. The results indicated a statistically significant reduction in all three key indicators: the proportion of speeding vehicles decreased by 2.7 percentage points per hour, stop line violations dropped by 0.5 percentage points per hour, and the average number of jaywalking incidents reduced by 5.95 cases per hour. However, the reduction in illegal parking (an average decrease of 0.03 vehicles per hour) was not statistically significant. This was attributed to structural factors in certain commercial and high-density residential areas, as well as nighttime parking demand. Nonetheless, partial improvements were observed during specific time periods and locations, highlighting the need for integration with dedicated illegal parking enforcement systems. This study confirms the potential of Smart School Zone systems as active traffic management technologies that supplement the limitations of conventional static safety infrastructure. The findings serve as foundational data for the advancement of related technologies and future policy development. Further research is suggested to assess long-term effectiveness, evaluate location-based differences in impact, and generalize findings through the inclusion of a broader sample of study sites.

Keywords

AI-based traffic system

behavioral analysis

child protection zone

smart school zone

traffic safety

어린이 보호구역 내에서의 교통사고는 여전히 높은 수준으로 발생하고 있으며, 이는 어린이의 돌발행동, 운전자의 인지 부족, 정적인 안전시설의 한계 등 복합적인 요인에 기인한다. 이러한 문제를 해결하기 위한 대안으로 최근 인공지능 기반 영상인식 기술과 실시간 경고 시스템을 접목한 스마트스쿨존 시스템이 도입되고 있다. 본 연구는 스마트스쿨존 시스템이 어린이 보호구역 내에서 실질적인 교통안전 효과를 제공하는지를 실증적으로 평가하기 위하여 정량적 효과를 분석하였다. 효과 분석은 경기도 안양시 내 초등학교에 설치된 스마트스쿨존 시스템을 대상으로 하였으며 과속경보, 불법 주·정차 계도, 정지선 위반 차량 계도, 무단횡단 감지의 서비스 항목에 대하여 시스템 설치 전·후의 실시간 영상검지를 통하여 데이터를 수집하였다. 이를 바탕으로 각 서비스의 효과척도별 데이터를 수집하고 교통행태 및 보행행태 변화의 통계적 유의성을 검증하였다. 분석결과, 과속차량 비율의 경우 시간당 2.7%p 감소하였으며 정지선 위반 차량의 비율도 시간당 0.5%p 감소하였으며 무단횡단 보행자 수는 시간당 평균 5.95명이 감소하여 세 가지 지표에서 통계적으로 유의미한 감소를 확인하였다. 반면, 불법주정차 차량의 경우 시간당 평균 0.03대가 감소하였지만, 통계적으로 유의하지 않는 것으로 분석되었다. 다만 특정 시간대나 구간에서 부분적인 개선 효과가 존재하였고 일부 상가 및 주거 밀집 지역의 구조적 요인과 야간 주차 수요가 영향을 미친 결과로 해석되어 개선을 위해서는 향후 불법 주·정차 단속시스템과의 연계의 필요성을 확인하였다. 본 연구는 스마트스쿨존 시스템이 정적 교통안전시설의 한계를 보완하는 능동형 교통관리 기술로서의 가능성을 확인하였으며 향후 기술 고도화 및 정책 설계에 활용될 수 있는 기초자료로 활용될 수 있다. 향후에는 장기적인 측면에서의 효과 검증, 설치 위치에 따른 효과 분석, 일반화를 위한 표본 지점 확대를 통한 효과평가의 필요성이 있다.

키워드

인공지능 기반 교통시스템

행태 분석

어린이 보호구역

스마트스쿨존

교통안전

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Information

Publisher :Korean Society of Transportation
Publisher(Ko) :대한교통학회
Journal Title :Journal of Korean Society of Transportation
Journal Title(Ko) :대한교통학회지
Volume : 43
No :6
Pages :789-800
Received Date : 2025-08-17
Revised Date : 2025-09-06
Accepted Date : 2025-10-09
DOI :https://doi.org/10.7470/jkst.2025.43.6.789

Journal of Korean Society of Transportation ISSN:1229-1366(Print) 2234-4217(Online) 대한교통학회지

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