지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.1
- 수록면
- 107 - 117 (11page)
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초록· 키워드
오류제보하기
Recently, traffic Incidents have a significant negative impact on traffic flow safety. To realize a more accurate and faster incident detection mechanism, various types of AVID(Automatic Vehicle Incident Detection) algorithms have been proposed and ANNs (Artificial Neural Networks) are currently known to have the potential to achieve significantly good performance in terms of detection and false alarm rates, as well as operational improvements. Moreover, recently DNNs (Deep Neural Networks) have received huge attention due to their excellent performance on a wide range of recognition and classification tasks. In this study, DNNs (Deep Neural Networks) have been used to explore the performance of learning algorithm for automatic incident detection on freeways. The incident detection performance of the DNNs was compared with a general Back-Propagation (BP) model and the best network topology has been proposed for each model.
목차
등록된 정보가 없습니다.
참고문헌 (21)
참고문헌 신청
H. J. Payne / 1978 / Freeway incident detection algorithms based on decision trees with states / Transportation Research Record 682:30~37
B. N. Persaud / 1989 / Catastrophe theory and patterns in 30-second freeway traffic data - implications for incident detection / Transportation Research Part A 23(2):103~113
Y. J. Stephanedes / 1993 / Freeway incident detection through filtering / Transportation Research Part C 1:219~233
R. L. Cheu / 1995 / Automated Detection of Lane-Blocking Freeway Incidents using Artificial Neural Networks / Transportation Research Part C 3(6):371~388
S. Ishak / 1999 / Performance of automatic ANN-based incident detection on freeways / Journal of Transportation Engineering 125(4):281~290
B. N. Persaud / 1989 / Catastrophe theory and patterns in 30-second freeway traffic data - implications for incident detection / Transportation Research Part A 23(2):103~113
Y. J. Stephanedes / 1993 / Freeway incident detection through filtering / Transportation Research Part C 1:219~233
R. L. Cheu / 1995 / Automated Detection of Lane-Blocking Freeway Incidents using Artificial Neural Networks / Transportation Research Part C 3(6):371~388
S. Ishak / 1999 / Performance of automatic ANN-based incident detection on freeways / Journal of Transportation Engineering 125(4):281~290
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