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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.20 no.6, 2021년, pp.1 - 13
한대철 (한국건설기술연구원 도로교통연구본부) , 이동우 (인천대학교 도시과학대학 도시행정학과) , 정도영 (한국건설기술연구원 도로교통연구본부)
In this study, a time series analysis technique was applied to calibrate and predict traffic data for various purposes, such as planning, design, maintenance, and research. Existing algorithms have limitations in application to data such as traffic data because they show strong periodicity and seaso...
Castro-Neto M., Jeong Y. S., Jeong M. K. and Han L. D.(2009), "SVR for short-term traffic flow prediction under typical and atypical traffic conditions," Expert Syst. Appl., vol. 36, no. 3, pp.6164-6173.
Hamed M. M., Al-Masaeid H. R. and Bani Said Z. M.(1995), "Short-term prediction of traffic volume in urban arterial," J. Transp. Eng., vol. 121, no. 3, pp.269-1254.
Kim B. S., Kim S. W., Fang Y. and Wong T. F.(2010), "Feedback-assisted MAC protocol for real time traffic in high rate wireless personal area networks," Wireless Networks, vol. 16, no. 4, pp.1109-1121.
Korea Institute for Health and Social Affairs(2018), A Study on anomaly detection based on Machine Learning, pp.81-84.
Korea Institute of Civil Engineering and Building Technology(2008), A Study on the Improvement and Evaluation of Information Reliability, pp.45-55.
Lee S. and Fambro D. B.(1999), "Application of subset autogressive integrated moving average model for short-term freeway traffic volume forecasting," Transport. Res. Part C: Emerg. Technol., vol. 1678, no. 1, pp.179-188.
Lee S. B.(2019), Development of Dynamic Traffic Volume Estimation Model Using DSRC Prove Data, Doctoral Dissertation, Seoul National University, p.12.
Li L., Su X. N., Zhang Y., Lin Y. and Li Z. H.(2015), "Trend modeling for traffic time series analysis:An integrated study," IEEE Trans. Intell. Transport. Syst., vol. 16, no. 6, pp.3430-3439.
Li L., Xiaonan S., Yi Z., Yuetong L. and Zhiheng L.(2015), "Trend Modeling for Traffic Time Series Analysis: An Integrated Study," IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 6, p.3430.
Satish S., Pawan L. and Ming Z.(2003), "Effect of Missing Value Imputations on Traffic Parameters Estimations from Permanent Traffic Counts," Transportation Research Board 80th Annual Meeting, Washington, D.C., pp.1-33.
Satish S., Pawan L. and Zhong M.(2003), "Effect of Missing Value IMputations on Traffic Parameters Estimations from Permanet Traffic Counts," TRB 2003 Annual Meeting CD-ROM, p.1.
Steffen M. and Bartz-Beielstein T.(2017), "Time Series Missing Value Imputation in R," Contributed Research Article, The R Journal, vol. 9, no. 1, pp.207-218.
Turner S. M., Lomax T. and Margiotta R.(2001), Monitoring Urban Roadway in 2000:Using Archived Operations Data for Reliability and Mobility Measurement, Texas Transportation Institute, College, TX.
Zhou Y. C. and Meng P. C.(2019), "Diagnosis of causes for high railway traffic based on Bayesian network," Math. Model. Eng. Probl., vol. 6, no. 1, pp.136-140.
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