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Development of Incident Detection Model Using Compression Wave Test Module  

Lee, Hwan-Pil (아주대학교 건설교통공학과)
Kim, Nam-Sun (아주대학교 건설교통공학과)
Oh, Young-Tae (아주대학교 환경건설교통공학부)
Kim, Soo-Hee (아주대학교 건설교통공학과)
Publication Information
Journal of Korean Society of Transportation / v.22, no.6, 2004 , pp. 77-88 More about this Journal
Abstract
This study aims at developing the model that is able to detect the compression wave, which is included as a similar situation in incidents, that causes false applicable to the similar character such as incidents in the incident detection model for expressways. In this study, it has been checked whether the number of false alarms is decreased or not by modularizing this model for being able to applicable to other models such as DES and DELOS, etc. which do not perform the compression wave test based on the compression wave test process of APID model which has been being used in the expressway traffic management system currently. The evaluation in this study focuses on the sensitivity of the model and the results analysis is performed classified by each polling cycle. And how well these models are working is evaluated by each polling cycle. In addition to this, the detection rate, the false alarm rate and the average detection time in both the existing models and the model in this study are calcuated. As a result of appling the model in this study, it is found that the false alarm rate is improved through the reasonable decrease in the number of false alarm frequencies and there are not remarkable changes concerning the detection rate and the average detection time. To sum up, it is expected that a good number of improvement effects will be occurred when this model is applied to the actual expressway traffic management system.
Keywords
돌발상황;돌발상황 검지;압축파;자동돌발상황검지;다목적돌발상황검지모형;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 김진학(2000), ‘자동 유고 감지알고리즘의 비교분석에 관한 연구’, 석사학위 논문, 서울대학교 대학원
2 이상민(2002), ‘Wilcoxon Rank Sum Test 기법을 이용한 자동돌발상황 검지모형의 개발’, 대한교통학회지, 제20권 제6호, 대한교통학회, pp.81-98
3 장세봉(1997), ‘인공신경망을 이용한 고속도로 자동 유고 감지 모형의 개발’, 서울대학교 대학원 박사학위 논문
4 한국도로공사(2000), ‘교통관리시스템 S/W 기능개선용역 교통알고리즘 기능개선부문 최종보고서’
5 황준환(2000), ‘간선도로 돌발상황 검지기법 개발연구’,박사학위 논문, 서울시립대학교 대학원
6 Texas Transportation Institute(1997), 'Free-way Traffic Operation s', NHI Course, No. 13375, Federal Highway Administration
7 Summer, R. et al.(1983), 'Freeway Man-agement Handbook', FHWA
8 U.S Department of Transportation(1991), FHWA, 'Freeway Incident Management Handbook', Report No. FHWA-SA-91-056
9 구정욱(2000), ‘분류 시스템을 이용한 유고검지모형의 개발’, 석사학위논문, 아주대학교 대학원
10 Bhagwant N. Persaud, Fred I. Hall & Lisa M. Hall(1990), 'Development and Setting of the McMaster Incident Detection Algo-rithms', 69th Annual Meeting No. 89-0389, Transportation Reseach Board
11 Solomon M.(1991), 'A Review of Automatic Incident Detection Techniques', ADVANCE Program Technical Report, NU-1d.1-1, NSF Research Fellow Transportation Center
12 이의은(1995), ‘고속도로 교통류의 특성분석과 그 응용에 관한 연구’, 박사학위 논문, 서울대학교 대학원
13 백용현(1999), ‘영상기반의 지능형 자동유고검지모형개발’, 석사학위논문, 아주대학교 대학원
14 Bhagwant N. Persaud, Fred I. Hall & Lisa M. Hall(1990), 'Congestion Identification Aspects of the McMaster Incident Detection Algorithm', Transportation Research Report 1287