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NTIS 바로가기韓國ITS學會 論文誌 = The journal of the Korea Institute of Intelligent Transportation Systems, v.22 no.4, 2023년, pp.97 - 113
이상현 (아주대학교 교통공학과) , 김진영 (아주대학교 D.N.A.플러스융합학과) , 노종민 (아주대학교 D.N.A.플러스융합학과) , 이환필 (한국도로공사 도로교통연구원) , 이수목 (아주대학교 AI모빌리티공학과) , 윤일수 (아주대학교 교통시스템공학과)
Swift and appropriate responses in emergency situations like objects falling on the road can bring convenience to road users and effectively reduces secondary traffic accidents. In Korea, current intelligent transportation system (ITS)-based detection systems for emergency road situations mainly rel...
Baek, S. K.(2017), "Future Highway Prospects and Road Infrastructure Policy Direction", The Korea?Spatial Planning Review, vol. 428, pp.15-19.
Baek, S. K., Oh, C. S., Kang, J. G. and Nam, D. H.(2005a), "Assessments of freeway incidents?management systems", Journal of the Korean Society of Civil Engineers, pp.4075-4078.
Baek, S. K., Oh, C. S., Kang, J. G. and Nam, D. H.(2005b), "A guideline for freeway incident?management manual", The Journal of The Korea Institute of Intelligent Transport Systems, vol.?4, no. 3, pp.61-72.
Elhassouny, A. and Smarandache, F.(2019), "Trends in deep convolutional neural Networks?architectures: A review", 2019 International Conference of Computer Science and Renewable?Energies(ICCSRE), pp.1-8.
He, K., Zhang, X., Ren, S. and Sun, J.(2016), "Deep residual learning for image recognition",?Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.770-778.
Kang, Y. S.(2009), "ITS/Telematics", Communications of the Korean Institute of Information?Scientists and Engineers, vol. 27 no. 9, pp.10-17.
Ki, Y. K. and Kim, Y. H.(2020), "A travel speed prediction model for incident detection based on?traffic CCTV", Journal of Industrial Convergence, vol. 18, no. 3, pp.53-61.
Kim, B. J., Yim, J. H. and Kim, J. M.(2020), Highway driving dataset for semantic video?segmentation, arXiv preprint arXiv:2011.00674.
Kim, D. H.(2005), "Automatic Incident Detection Using Machine Learning", Seoul Studies, vol. 6, no.?1, pp.71-80.
Lee, K. Y., Seo, I. K., Park, M. S. and Jang, M. S.(2012), "A Study on the Influencing Factors for?Incident Duration Time by Expressway Accident", International Journal of Highway?Engineering, vol. 14, no. 1, pp.85-94.
Narayanan, A., Dwivedi, I. and Dariush, B.(2019), "Dynamic traffic scene classification with?space-time coherence", 2019 International Conference on Robotics and Automation(ICRA),?pp.5629-5635.
Ozdamar, L., Aksu, D. T. and Ergunes, B.(2014), "Coordinating debris cleanup operations in post?disaster road networks", Socio-Economic Planning Sciences, vol. 48, no. 4, pp.249-262.
Phung, V. H. and Rhee, E. J.(2019), "A high-accuracy model average ensemble of convolutional?neural networks for classification of cloud image patches on small datasets", Applied Sciences,?vol. 9, no. 21, p.4500.
Prykhodchenko, R. and Skruch, P.(2022), "Road scene classification based on street-level images and?spatial data", Array, vol. 15, p.100195.
Sihag, G., Parida, M. and Kumar, P.(2022), "Travel Time Prediction for Traveler Information System?in Heterogeneous Disordered Traffic Conditions Using GPS Trajectories", Sustainability, vol. 14,?no. 16, p.10070.
Society Automotive Engineers International, ITIS Phrase Lists (International Traveler Information?Systems), https://www.sae.org/standards/content/j2540/2_202012, 2023.01.15.
Westell, J.(2019), Multi-Task Learning using Road Surface Condition Classification and Road Scene?Semantic Segmentation, Master's Thesis, Linkoping University. https://urn.kb.se/resolve?urnurn:nbn:se:liu:diva-157403, 2023.02.21.
Wu, F., Yan, S., Smith, J. S. and Zhang, B.(2021), "Deep multiple classifier fusion for traffic scene?recognition", Granular Computing, vol. 6, pp.217-228.
Yao, J., Fidler, S. and Urtasun, R.(2012), "Describing the scene as a whole: Joint object detection,?scene classification and semantic segmentation", 2012 IEEE Conference on Computer Vision and?Pattern Recognition, pp.702-709.
Zeng, D., Liao, M., Tavakolian, M., Guo, Y., Zhou, B., Hu, D., Pietikainen, M. and Liu, L.(2021), Deep?learning for scene classification: A survey, arXiv preprint arXiv:2101.10531.
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