인용/피인용
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딥 러닝을 이용한 고속도로 교통사고 예측모델 개발' 의 주제별 논문영향력
| 주제 |
|
|
|---|---|---|
| 동일주제 총논문수 | 논문피인용 총횟수 | 주제별 논문영향력의 평균 |
| 2,039 | 0 |
0.0% |
주제별 논문영향력
' 딥 러닝을 이용한 고속도로 교통사고 예측모델 개발' 의 참고문헌
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한국도로공사2016년도 고속도로 교통사고 통계 [2017]
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한국도로공사고속도로 안전성능합수 사고수정계수 개발사례집 [2014]
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상관성이 있는 변수를 고려한 주성분 분석 기반의 안전성능함수
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박사
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박사
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고속도로 인터체인지에서의 교통사고 예측모델 개발
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고속도로 연결로 구간의 사고예측계수(AMF) 개발 및 활용방안 연구
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경찰청2017 교통사고 통계(2016년 통계) [2017]
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Tomas Mikolov, Martin Karafiat, Lukas Burget, Jan “Honza” Cernocky, Sanjeev Khudanpur(2010), Recurrent neural network based language model, Interspeech, pp. 1045-1048
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Simon, W. P., Mattew, G. K., Fred L, M, (2010), Statistical and Econometric Method For Transportation Data Analysis, CRC Press
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Salvatore Cafiso, Carmelo D’Agostino Bhagwant Persaud(2013), Investigating the influence of segmentation in estimating safety performance functions for roadway sections, Transportation Research Board Annual Meeting
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박사
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Mohamadreza Banihashemi(2012), Highway Safety Manual, Calibration Dataset Sensitivity Analysis, Transportation Research Board Annual Meeting
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Lee J. K. (2009), A Study on Prediction of the Early-Age Strength of Concrete using Artificial Neural Network Theory, Joongbu University graduate school, A master Dissertation.
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Krizhevsky, Alex(2010), Convolutional Deep Belief Networks on CIFAR-10, Unpublished manuscript (downloaded from cs.toronto.edu), Vol. 1, pp. 1-9
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K-Means 알고리즘을 이용한 대용량 문서 클러스터링에서 개선 된 초기 중심 선정 방법의 제안
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K-Means 군집분석을 이용한 U-도시 유형분류에 관한 연구
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Jinyan Lu, Kirolos Haleem, Priyanka Alluri, Albert Gan(2013), Full versus Simple Safety Performance Functions: A Comparison Based on Urban Four-Lane Freeway Interchange Influence Areas in Florida, Transportation Research Board Annual Meeting
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Hochan Kwak, Dong-kyu Kim, Shin Hyoung Park, Seung-Young Kho(2010), Development of a Safety Performance Functions for Korean Expressways, 12th World Conference on Transport Research (WCTR) - Lisbon, Portugal, pp. 1-12
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Helai Huang, Qiang Zeng, Xin Pei, S.C. Wong, Pengpeng Xu(2016), Predicting crash frequency using an optimised radial basis function neural network model, Transportmetrica A: Transport Science, Vol.12, No 4, pp.330-345
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Guangyuan Pan, Liping Fu, Lalita Thakali(2017), Development of a global road safety performance function using deep neural networks, International Journal of Transportation Science and Technology, Vol.6, No.3, pp. 159-173
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Geoffrey Hinton, Li Deng, Dong Yu, George E. Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N. Sainath, and Brian Kingsbury(2012), Deep Neural Networks for Acoustic Modeling in Speech Recognition: The shared views of four research groups, IEEE Signal Processing Magazine, Vol. 29, pp. 82-97
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Fillip Martinelli, Francesca La Torre, Paolo Vadi(2009), Calibration of the Highway Safety Manual Accident Prediction Model for Italian Secondary road network, Transportation Research Board Annual Meeting
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Ducknyung Kim, Dong-Kyu Kim, Chungwon Lee(2013), Safety Performance Functions Reflecting Categorical Impact of Exposure Variables for Freeways, Transportation Research Board Annual Meeting
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Diederik P. Kingma, Jimmy Lei Ba(2015), ADAM: A Method For Stochastic Optimization, International Conference for Learning Representations, Vol.9, pp. 1-15
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Christopher D. Manning, Prabhakar Raghavan and Hinrich Schutze(2008), Introduction to Information Retrieval, Cambridge University Press, pp.331-338
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Christian Szegedy, Christian, Alexander Toshev and Dumitru Erhan(2013), Deep neural networks for object detection, Advances in Neural Information Processing Systems
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Bradford K. Brimley, Mitsuru Saito, Grant G. Schultz(2012), Calibration of the Highway Safety Manual Safety Performance Function and Development of New Models for Rural Two-Lane Two-Way Highways, Transportaion Research Board Annual Meeting
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Bengio, Y. A. Courville, and P. Vincent(2013). Representation Learning: A Review and New Perspectives. IEEE Trans. PAMI, special issue Learning Deep Architectures, Vol. 35, No, 8, pp. 1798-1828
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Arthur, D. and S. Vassilvitskii(2006), How Slow is the K-means Method. Proceedings of the Twenty-Second Annual Symposium on Computational Geometry, ACM, p144-153.
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AASHTO(2010), Highway Safety Manual