Acknowledgement
이 논문은 2021년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(No. 2020R1I1A3074217).
References
- Cho J., Jung H., Nam Bui K. H. and Yi H.(2020), "Image Generation-based Traffic Density Classification for Large-Scale Urban Road Networks," KIISE Transactions on Computing Practices, vol. 26, no. 11, pp.499-506. https://doi.org/10.5626/ktcp.2020.26.11.499
- Hua J. and Faghri A.(2005), "Dynamic Traffic Pattern Classification Using Artificial Neural Networks," Transportation Research Record, vol. 1399, pp.14-19.
- Jang C.(2020), From machine learning with Python optimization concepts learned with linear algebra and statistics to deep learning using tensorflow, BJpulic, p.138.
- Jeong Y., Kim D., Kim Y., Hwang K. and Kim Y.(2008), "Determination of TOD Plan Breaking Points Using a Clustering Analysis," Korean Society of Road Engineers, pp.341-347.
- Jia L., Yang L., Kong Q. and Lin S.(2006), "Study of Artificial Immune Clustering Algorithm and Its Applications to Urban Traffic Control," International Journal of Information Technology, vol. 12, no. 3, pp.1-6.
- Lantz B.(2020), Machine Learning with R, Acorn, pp.388-389, p.400.
- Lee I., Lee H. and Kim Y.(2011), "Optimization of TIME-OF-DAY and Estimation on the Field Application for Arterial Road," Journal of Korean Society of Transportation, vol. 29, no. 4, pp.113-123.
- Lee J., Kim J. and Park B.(Brian)(2011), "A genetic algorithm-based procedure for determining optimal time-of-day break points for coordinated actuated traffic signal systems," KSCE Journal of Civil Engineering, vol. 15, pp.197-203. https://doi.org/10.1007/s12205-011-1093-0
- Lee Y., Ko M. and Choi D.(2019), "Pattern and Energy Intensity Analysis of Monthly Gas Energy Consumption in Apartment Using Dynamic Time Warping Hierarchical Clustering," The Korean Society of Living Environmental System, vol. 26, no. 1, pp.134-139. https://doi.org/10.21086/ksles.2019.02.26.1.134