참고문헌 (13)

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2. Lin, Lu, Li, Jianxin, Chen, Feng, Ye, Jieping, Huai, Jinpeng. Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data. IEEE transactions on knowledge and data engineering, vol.30, no.7, 1310-1323.

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3. Sun, J., Sun, J.. A dynamic Bayesian network model for real-time crash prediction using traffic speed conditions data. Transportation research. Part C, Emerging technologies, vol.54, 176-186.

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4. Nasimifar, Mahdi, Thyagarajan, Senthilmurugan, Siddharthan, Raj V., Sivaneswaran, Nadarajah. Robust Deflection Indices from Traffic-Speed Deflectometer Measurements to Predict Critical Pavement Responses for Network-Level Pavement Management System Application. Journal of transportation engineering, vol.142, no.3, 04016004-.

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5. 10.1145/3326467.3326492 H. Yi, K. N. Bui, and H. Jung, "Implementing a deep learning framework for short term traffic flow prediction", In Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, Seoul, Korea, pp. 1-8, Jun. 2019. 

   

6. K. N. Bui, H. Yi, H. Jung, and J. Seo, "Big data analytics-based urban traffic prediction using deep learning in ITS", In Proceedings of the International Conference on Artificial Intelligence, Madrid, Spain, pp. 270-273, Nov. 2019. 

7. H. Yi, "Deep deterministic policy gradient for autonomous vehicle driving", In Proceedings of the International Conference on Artificial Intelligence, Las Vegas, USA, pp. 191-194, Jul. 2018. 

8. Zhu, Jia, Huang, Changqin, Yang, Min, Cheong Fung, Gabriel Pui. Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks. Information sciences, vol.473, 190-201.

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9. Yi, Hongsuk, Bui, Khac-Hoai Nam, Seon, Choong-Nyoung. A Deep Learning LSTM Framework for Urban Traffic Flow and Fine Dust Prediction. 정보과학회논문지 = Journal of KIISE, vol.47, no.3, 292-297.

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10. S. H. I. Xingjian, Z. Chen, H. Wang, D. Y. Yeung, W. K. Wong, and W. C. Woo, "Convolutional LSTM network: A machine learning approach for precipitation nowcasting", In Proceedings of the 28th International Conference on Neural Information Processing Systems, Vol. 1, Cambridge, M A, USA, pp. 802-810, Dec. 2015. 

11. Smart City Bigdata Center, https://www.smartcitydata.kr/. [accessed: Oct. 11, 2021] 

12. Y. Li, R. Yu, C. Shahabi, and Y. Liu, "Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting", arXiv e-prints. 2017 Jul:arXiv-1707. 

13. Shi, Xiaoming, Qi, Heng, Shen, Yanming, Wu, Genze, Yin, Baocai. A Spatial–Temporal Attention Approach for Traffic Prediction. IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council, vol.22, no.8, 4909-4918.

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