신호교차로에서 택시 DTG 자료를 활용한 대기행렬 길이 추정 알고리즘 개발 = Queue Length Estimation Algorithm for Signalized Intersections Using Taxi DTG Data

국문 초록 (Abstract)

대기행렬 길이는 신호교차로의 운영을 위한 중요한 효과척도이다. 서울시에서는 택시 DTG 자료를 통해 개별 차량의 주행정보를 수집하고 이를 활용하여 교통정보를 생성하고 있다. 본 논문에서는 개별 택시에서 수집된 DTG 자료 중 위치정보를 활용하여 신호교차로에서 대기행렬 길이를 추정하기 위한 알고리즘을 개발하였다. 위치정보를 통해 시공도상에 개별 차량의 속도변화가 발생되는 지점을 추정하였으며 대기행렬 길이를 추정하기 위해 매주기 추정된 개별 차량의 속도감소 지점들을 활용하여 대기행렬이 생성되는 충격파의 속도를 산정하였다. 제안 된 알고리즘의 정확성을 검증하기 위해 마이크로시뮬레이션 소프트웨어를 사용하였다. 평가 결과 평균절대비율오차가 19.8%를 나타내어 택시 DTG 자료를 활용하여 대기행렬 길이를 추정할 수 있음을 확인하였으며 프로브차량 비율에 따른 알고리즘의 민감도를 분석하였다. 본 연구는 향후 개인정보 보호법의 개정에 따라 현장자료를 활용한 추가적인 연구가 수행된다면 신호교차로의 운영 및 정책결정에 활용될 수 있을 것으로 기대된다.

다국어 초록 (Multilingual Abstract)

In this study, an algorithm was developed for estimating the queue length at signalized intersections using taxi DTG data collected for the Metropolis of Seoul. For this, the coordinates of individual vehicles plotted on a time-space diagram were estimated from individual vehicles experiencing speed variations owing to traffic signals at intersections. To estimate the queue length at signalized intersections, the speed of the forming queue shockwave was estimated from vehicle coordinates at locations of speed deceleration for every cycle. The microsimulation software Vissim was used to verify the accuracy and sensitivity of the proposed algorithm. The results of the evaluation revealed at least 19.8% of the mean absolute percentage. The result indicates that the queue length can be estimated through this approach.

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