1 |
ALIO(2013), Korea Road Traffic Authority Traffic Science Institute, pp.86-87.
|
2 |
FHWA(2006), Traffic Detector Handbook, pp.3-17.
|
3 |
Jung H. J., Yoon J. S. and Bae S. H.(2017), "Traffic Congestion Estimation by Adopting Recurrent Neural Network," The Journal of the Korea Institute of Intelligent Transport Systems, vol. 16, no. 6, pp.67-78.
DOI
|
4 |
Kim D. H., Hwang K. Y. and Yoon Y.(2019), "Prediction of Traffic Congestion in Seoul by Deep Neural Network," The Journal of the Korea Institute of Intelligent Transport Systems, vol. 18, no. 4, pp.44-57.
|
5 |
Korea Meteorological Administration Data Center ASOS Data, https://data.kma.go.kr, 2020.07.27.
|
6 |
Lee H. S. and Bui K. H. N.(2019), "Deep Learning LSTM for Long-Short Term Traffic Flow Prediction," The Korean Institute of Information Scientists and Engineers 2019, pp.724-726.
|
7 |
Park S. H., Choi D. J., Bok K. S. and Yoo J. S.(2020), "Road Speed Prediction Scheme Considering Traffic Incidents," The Journal of the Korea Contents Association, vol. 20, no. 4, pp.25-37.
DOI
|
8 |
Sepp H. and Jurgen S.(1997), "Long Short-Term Memory," Neural Computation, vol. 9, no. 8, pp.1735-1780.
DOI
|
9 |
Simard P. Y., Steinkraus D. and Platt J. C.(2003), "Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis," Proceedings of the 7th International Conference on Document Analysis and Recognition, no. 3, pp.958-963.
|
10 |
The Korea's Transport Institute Press Release, https://www.koroad.or.kr, 2020.10.13.
|
11 |
Traffic Accident Analysis System, http://taas.koroad.or.kr, 2020.10.13.
|
12 |
Zheng H., Lin F., Feng X. and Chen Y.(2020), "A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction," IEEE Transactions on Intelligent Transportation Systems, pp.1-11.
|