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Article

Development of a Methodology for Estimating Control Delay Based on Vehicle Occupancy using Video Detectors

영상 검지기를 활용한 차량 점유율 기반의 제어 지체 산출 방법론 개발

Seokmin MOON1
,
Junwon KIM2
,
Yohee HAN2*
,
Jae Hyeon JEON3
,
Youngchan KIM4
문 석민1
,
김 준원2
,
한 여희2*
,
전 재현3
,
김 영찬4
1Master Course, Department of Transportation Engineering, University of Seoul, Seoul 02504, Korea
2Research Professor, Department of Transportation Engineering, University of Seoul, Seoul 02504, Korea
3Ph.D. Candidate, Department of Transportation Engineering, University of Seoul, Seoul 02504, Korea
4Professor, Department of Transportation Engineering, University of Seoul, Seoul 02504, Korea
1서울시립대학교 교통공학과 석사과정
2서울시립대학교 교통공학과 연구교수
3서울시립대학교 교통공학과 박사과정
4서울시립대학교 교통공학과 교수
*Corresponding Author
31 October 2025. pp. 576-590
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Abstract

Control delay at signalized intersections is a key indicator for evaluating operational performance, as it quantifies the time loss based on vehicle entry and exit times. Traditional control delay estimation methods often simplify vehicle arrival distributions, failing to fully reflect actual intersection conditions or relying on adjustment factors. To overcome these limitations, this study proposes a delay estimation methodology without arrival pattern adjustments by data collected from video detectors. The advancement of video recognition technology enables vehicle detection on signalized intersection approaches, providing information not only on passing traffic but also on the detection coverage within the approach area. Using video detectors, we collected per-second vehicle occupancy and throughput, and estimated the average control delay of intersection movements based on total travel time and free-flow travel time. Simulation results comparing the proposed methodology with conventional delay estimation methods indicate that our approach reduces delay estimation errors per cycle by more than 32%. This methodology more accurately reflects delay trends at signalized intersections, allowing for real-time analysis and contributing to traffic management utilizing video-based data.

Keywords
arrival distribution
control delay
signalized intersection
vehicle occupancy
video detection

신호교차로의 제어 지체는 운영 상태를 평가하는 핵심 지표로, 차량의 진입 시점과 진출 시점에 따른 시간 손실을 정량화하여 교차로 운영 평가에 중요하게 작용한다. 기존의 제어 지체 산정 방법은 차량 도착 분포를 단순화하여 실제 교차로 상황을 충분히 반영하지 못하거나, 연동에 의한 보정 계수를 적용하여 보완한다. 본 연구에서는 이러한 한계를 극복하기 위하여, 영상 검지기로부터 수집된 정보를 바탕으로 차량 도착 형태에 대한 보정 과정이 불필요한 지체 산정 방법론을 제안하였다. 영상 인식 기술을 활용하여 신호교차로 접근로의 차량 검지가 가능해짐에 따라, 통과 교통량뿐만 아니라 접근로 내 영상 검지 범위에 대한 정보를 생성할 수 있게 되었다. 영상 검지기를 통해 매초 차량 점유율 및 통과 차량 수를 수집하였고, 총 통행시간과 자유통행시간을 통해 교차로 이동류의 평균 지체를 산출하였다. 시뮬레이션을 통해 제안된 방법론을 기존 지체 산정 방법과 비교한 결과, 본 방법론은 기존 방법 대비 주기 단위 지체 산정 오차를 32% 이상 감소시켰다. 본 연구의 방법론은 신호교차로 지체 추이를 보다 정확히 반영하여 실시간 분석에 활용할 수 있으며, 영상 데이터를 활용한 교통 관리에 기여할 수 있을 것으로 기대된다.

키워드
도착 분포
제어 지체
신호교차로
차량 점유율
영상 검지
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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 :5
  • Pages :576-590
  • Received Date : 2025-02-03
  • Revised Date : 2025-03-17
  • Accepted Date : 2025-06-02
  • DOI :https://doi.org/10.7470/jkst.2025.43.5.576
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