• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.179-190
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• 2009

Travel time is one of the most important traffic parameters to evaluate operational performance of freeways. A variety of methods have been proposed to estimate travel times. One feasible solution to estimating travel times is to utilize existing loop detector-based infrastructure since the loops are the most widely deployed detection system in the world. This study proposed a new approach to estimate travel times for freeways. Inductive vehicle signatures extracted from the loop detectors were used to match vehicles from upstream and downstream stations. Ground-truthing was also conducted to systematically evaluate the performance of the proposed algorithm by recognizing individual vehicles captured by video cameras placed at upstream and downstream detection stations. A lexicographic optimization method vehicle reidentification algorithm was developed. Vehicle features representing the characteristics of individual vehicles such as vehicle length and interpolations extracted from the signature were used as inputs of the algorithm. Parameters associated with the signature matching algorithm were calibrated in terms of maximizing correct matching rates. It is expected that the algorithm would be a useful method to estimate freeway link travel times.

• Journal of Korean Society of Transportation
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• v.23 no.1
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• pp.83-92
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• 2005

This study if the first trial toward realizing a new methodology for vehicle re-identification based on heterogeneous sensor systems. A major interest of the author is how to effectively utilize information obtained from different sensors to derive accurate and reliable section travel times. The 'blade' sensor that is a newly developed sensor for capturing vehicle wheel information and the existing square loop sensor are employed to extract the inputs of the proposed vehicle re-identification algorithm. The fundamental idea of the algorithm developed in this study, which is so called 'anonumous vehicle re-identification,' it to match vehicle features obtained from both sensors. The results of the algorithm evaluation reveal that the proposed methodology could be successfully implemented in the field. The proposed methodology would be an invaluable tool for operating agencies in support of traffic monitoring systems and traveler information systems.

• Journal of Korean Institute of Fire Investigation
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• v.9 no.1
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• pp.27-34
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• 2006

2004년 2월~5월까지 대구시 달서구 00동 소재에서 연쇄방화가 발생 되어 수사를 하여 오던 중 우리경찰서에서 다방면으로 수사하여 차량화재 방화범 000를 검거 후 기소한 상태에서 공판이 진행되던 과정에서 변호인 측에서 일회용 라이터로는 차량을 착화 또는 발화의 가능성이 현저히 어렵다는 이유로 피고인의 무혐의를 주장하는 변론이 제기되어 00지방검찰청 000 담당검사의 요청에 의하여 혐의를 입증하고 검증할 수 있는 자료를 제출하고 검증자료가 없으면 본 건의 조건에 따르는 실험을 실시하고 감정결과를 제출하라는 지휘에 의거 우리경찰서 과학수사팀에서는 차량(프라이드)을 1대 구입하여 지방경찰청 과학수사팀, 국립과학수사구소 남부분소 이공학실 화재 연구실과 연계하여 차량화재 실험을 실시하고 실험과정 및 발화 행태와 양상을 구체적으로 증명할 수 있는 자료를 조사연구 분석하고 국립과학수사 연구소에서는 00지방검찰청에 촬영 데이터 원본영상과 촬영물, 그리고 감정서를 작성, 실험 결과를 문서화하여 제출하여 혐의를 입증한 사례 연구로 피의자에 대한 혐의 입증시 상황이나 정황 증거보다 실체적 진실증거의 중요성을 재인식 하고자 한다.

• Journal of Korean Society of Transportation
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• v.23 no.8 s.86
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• pp.147-152
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• 2005

This study firstly developed a tool for evaluating performance requirements of automatic vehicle identification (AVI) techniques. A microscopic traffic simulator, Paramics, was employed to investigate the effects of AVI performances on the accuracy of estimating section travel times. Mote Carlo simulation approach was incorporated into Paramics to conduct systematic evaluations of identifying required AVI performances. The proposed method in this study can serve as a logical and necessary precursor to field implementation of a variety of AVI techniques toward achieving more reliable traffic information.