• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.5
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• pp.11-20
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• 2014

Due to the importance of vehicle detector which plays an essential role in generating real-life traffic information, maintaining detector data quality is preeminent in advanced traffic management and information systems (ATMIS). To this end, agencies periodically conduct performance tests on detectors. Detector evaluation is generally performed by comparing baseline data with corresponding detector data. Here, two important things need to be addressed; one is errors (or uncertainties) included in baseline data and the other is the confidence interval concept to represent evaluation results of sample data to corresponding ones of population. To resolve these problems, a new detector evaluation scheme is introduced and the scheme is applied to individual level detector evaluations of loop, video image, and radar detectors. The purpose of individual level evaluation is to eliminate the balancing (or cancelling-out) effects of over- and under-counts. As a consequence, the proposed scheme is proven to be effectively applied to real-world detector evaluations.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.5
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• pp.22-35
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• 2013

With the increase in image detectors, concerns about the reliability of traffic information are increasing. In this paper, we propose a method to generate reliable traffic volume using analysis of the point detector data as a representative value. Therefore, targeting expressway, we analyzed the difference in traffic volume collected by loop and image detector, and verified statistically using t-test, and finally analyzed the error rate compare to the real traffic volume. Analysis revealed that there was a statistically difference the traffic date collected by the loop detector and the image detector, in the same period, the same time, respectively. In addition, the difference between the actual traffic volume and traffic that have been collected in a loop detector was the lowest Therefore, creating a traffic volume of representative value, we proposed a method to use loop detector than the average traffic volume collected by each detector. It shows that it is more important to use one high-quality data rather than various low-quality data to produce a representative value.

• Journal of Korean Society of Transportation
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• v.20 no.5
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• pp.231-244
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• 2002

현재 다양한 교통정보 서비스와 소통수준 제고를 목표로 국내 여러 도시에서 진행중인 첨단교통관리체계(ATMS)사업이 운영 또는 구축중에 있으며 도로상의 교통정보를 보다 정확히 수집하기 위해 다양한 종류의 차량검지시스템이 도입되고 있으나 기존 국내외 사례를 볼 때 제반 검지기의 성능평가 방안이 사업별로 상이한 기준으로 진행되었으며 객관적인 성능수준을 제시하지는 못하고 있는 것으로 나타났다. 이에 검지시스템의 성능을 평가하기 위한 과정을 최근의 서울시 내부순환로 교통관리시스템의 사례를 토대로 고찰한 결과 시공단계에서 지속적인 튜닝과 성능제고방안을 추진한다면 상당한 수준의 정확도 확보를 기대할 수 있음을 알 수 있었다. 또한 제시된 평가방안은 향후 보완을 거쳐 타 시스템에 있어 초기설치시 또는 유지관리시 성능의 척도로써 목표를 선정하고 활용하는 데 있어 하나의 대안으로 제시할 수 있을 것이다. 이에 제반 ATMS관련 연구기관에서는 시스템의 성능과 정확성을 좌우한다 해도 과언이 아닌 차량 검지기에 대한 성능평가 기준의 표준화 방안에 대한 연구를 진행하여, 검지기 성능제고를 위한 객관적인 기준목표와 각 검지기변 평가기준의 표준화 방안을 제시한다면 통행시간, 속도 등 제공정보의 신뢰성을 상당수준 향상시킴과 동시에 사업시행에 따른 시행착오를 최소화할 수 있을 것으로 기대한다.

• The KIPS Transactions:PartB
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• v.10B no.2
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• pp.127-134
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• 2003

This paper is intended to develop an algorithm for automatic detection of traffic accidents using image sequences. This algorithm is designed for detecting stopped vehicles traffic accidents, break down, illegal stop in the road shoulder - on the range of camera view. Virtual traps are set on accident-prone spots. We analyze the changes in gray levels of pixels on the virtual traps which represent the motion of vehicles on the corresponding spots. We verify the proposed algorithm by simulating some situations and checking if it detect them correctly.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.341-343
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• 2010

현재 사용되는 차량 검지기는 크게 두 가지 검지기가 사용되고 있다. 그 종류는 루프 검지기와 영상 검지기인데 지금 이러한 두 가지 유형은 설치 이용되고 있고, 이러한 검지기로부터 수집된 교통량, 속도 등의 실시간 교통 자료는 가공과정을 거친 후 반복/비 반복 정체관리, 돌발 상황관리, 경로안내 서비스 등 다양한 서비스에 활용하고 있으나, 이들 용도 이외에 더욱더 다양한 서비스를 지원하는 작업이 필요하며 예를 들면, 교통정책 평가, 교통사업 평가, 교통안전 증진 등의 다양한 목적으로 활용하는 서비스를 지원하는 것이어야 하겠다. 따라서 현재 이용되는 차량 검지기 시스템의 확대 설치가 이루어져야 한다. 그러나 루프 검지기와 영상 검지기는 복잡한 공사를 수반하며, 가격 또한 높고 USN 기반의 인식 기술에 비해 경제성과 경쟁력이 떨어진다. 따라서 다양한 공공/민간 교통서비스 및 u-City의 응용 서비스 기술에 필요한 USN 기반의 차량 식별/인식/속도 검지 기술의 개발이 필요하다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.643-644
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• 2023

본 논문에서는 고속도로 전용차로에서의 운행기준을 위반한 차량을 검지하는 시스템을 제안한다. 다인승 탑승차를 별도의 차로로 통행하도록 하여 혼잡도를 해소하겠다는 정책을 시행하고 있으며, 9인승 이상 차량에 6인 이상 텁숭자를 다인승 통행차량으로 정의하며, 이러한 기준을 만족하지 않는 차량을 자동 검지하는 시스템이다. 트리거 신호 검지기와 4조의 적외선 카메라로 차량 내부 촬영하고 결과 이미지를 분석하여 자동으로 다인승 차량을 판별하여 운행 위반을 검지한다. 테스트 결과 주야간에 관계없이 80% 이상의 우수한 검지율을 나타내었다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.2 no.1 s.2
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• pp.25-40
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• 2003

The purpose of this thesis is development of detection algorithm for stop-line detector. Detail detection area is set in basing detection area($1.8{\times}4.0m$) and traffic information(volume, occupancy, nonoccupancy) is collected by passive infrared detector at designing detection area. The basis detection area($1.8{\times}4.0m$) is named existing PIR and detection area applied on development algorithm is named proposal PIR. The proposal PIR is collected data such volume, occupancy, nonoccupancy, speed and lane change, but this thesis is limited to evaluate for volume, occupancy and nonoccupancy The procedure and each step of being developed algorithm is described in the next (1) The detection area of proposal PIR is made up of 2 of $1.8{\times}0.6m$ size(the detection area is named 1 and 3) and 1 of $1.8{\times}1.78m$ size(the detection area is named 2) (2) The image detection area is set on monitor to analyze outdoor photographing data then video frame analysis has been done by analyzer. (3) The occupancy, nonoccupancy and speed data of vehicle have been collected with the detection area 1 and 3 and lane change has been collected with combination of detection area 1, 2 and 3 The MAD and MAPE have been utilized to being compared with volume, occupancy and nonoccupancy for the field application and evaluation of a algorithm As the result, the proposal PIR data have been identified superior to the existing PIR data and the effect has been improved its information(volume, occupancy and nonoccupancy)

• 한국ITS학회:학술대회논문집
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• 2004.11a
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• pp.186-191
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• 2004

• Journal of Korea Spatial Information System Society
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• v.9 no.1
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• pp.79-90
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• 2007

In this paper we proposed and implemented an incident detection model which combines fuzzy algorithm and traffic pattern in order to enhance the efficiency of incident detection for the highways with lamps. Most of the existing algorithms dealt with highways without lamps and can not be used for detecting incidents in the highways with lamps. The data used for model building are traffic volume, occupancy, and speed data. They have been collected by a loop sensor at 5 minutes interval at a point in the Internal Circular Highway of Seoul for the period of 3 months. In this model, the three parameters collected by sensor were fuzzified and combined with the daily traffic pattern of the link. The test of efficiency of the propsed model was performed by comparing the result of proposed model with traditional APID algorithm and fuzzy algorithm without the pattern data respectively. The result showed significant amount of improvement in reducing the false incident detection rate by 18%.

• Journal of Korean Society of Transportation
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• v.20 no.5
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• pp.163-174
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• 2002

Speeding has been reported as one of the major causes for fatal traffic accidents in Korea. The resolution against this dangerous speeding comes to make the automated speed enforcement system an enforcement tool. The speed detection device, which measures speeds of each incoming vehicles using double loop sensors, requires high accuracy. The object of this study is to develop an accurate speed measurement algorithm using double loop detectors. Some important findings are summarized as follows: 1) It was found that speed measurement errors are caused by scanning rate, distance of two loops, irregular vehicle trajectories, multiple vehicles in detection zone. 2) A proposed algorithm using two signal set proved to reduce variance as well as mean of speed measurement. 3) A proposed filtering algorithm was effective to filter irregular driving vehicles and multiple vehicles in detection zone. A comprehensive field test of developed algorithm resulted in significant improvement of speed measurement accuracy.