접근 교통량을 활용한 정주기식 교통신호 운영개선을 위한 연구
Study on Improving Fixed-Time Signal Operations Using Approach Traffic Volumes
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참고문헌
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초록
본 연구는 정주기식 교통신호 운영을 개선하기 위해 스마트 교차로에서 수집된 자료를 활용하여 시간제(time-of-day, TOD) 분할 방법을 구체화하고 그 성능을 평가하는 데 목적이 있다. 이를 위해 클러스터링 기반 방법을 제안하고, 부천시에 있는 교차로 군에서 수집된 영상 검지기 데이터를 바탕으로 교통량 기반의 TOD를 분류하였다. 또한, 그 결과를 기존 TOD 및 유전자 알고리즘을 이용하여 최적화한 TOD와 비교하여 클러스터링을 통한 TOD 분할 방법의 제어지체 감소 효과를 평가하였다. 연구 결과, 클러스터링 기법을 이용한 TOD 분할은 제어 지체감소 효과를 보이는 것을 확인하였으나, 일부 시간에서 유전자 알고리즘으로 최적화한 것보다성능이 낮아 최적화 기법 적용 등의 보완 방안의 필요성이 제기되었다.
Abstract
This study aims to improve fixed-time traffic signal operations by utilizing data collected from smart intersections to refine the time-of-day (TOD) segmentation method and evaluate its performance. To this end, a clustering-based approach is proposed, and traffic volume-based TOD classification was performed using video detector data collected from a group of intersections located in Bucheon City. Furthermore, the results were compared with existing TOD segmentation and TOD optimized using a genetic algorithm to evaluate the effect of clustering-based TOD segmentation on reducing control delay. The study results confirmed that the clustering-based TOD segmentation demonstrated a reduction in control delay; however, in certain time periods, its performance was lower than that of the genetic algorithm-based optimization, highlighting the need for complementary measures such as optimization techniques.
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