1 |
Lee, S.J. Kim, B.I. Kwon, H. (2004). The study of Estimation model for the short-term travel time prediction. Journal of Korea Institute of Intelligent Transport Systems, 3(1), 31-44.
|
2 |
Park, Y.H. (2001). A Study on Forecasting of road Traffic Volume by ARIMA Model. Journal of Korean Society of Transportation, 40, 303-308.
|
3 |
Kim, H.J. Park, S.H. Jang, K.T.(2016). Short-term Traffic States Prediction Using k-Nearest Neighbor Algorithm: Focused on Urban Expressway in S eoul. Journal of Korean Society of Transportation, 34(2), 158-167.
DOI
|
4 |
Byeon, S.C. (2006). A study on forcasting short-term travel time considering the traffic characteristics. University of Seoul.
|
5 |
Jang, S.C. et al.(2005). Traffic-Flow Forecasting using ARlMA, Neural Network and Judgment Adjustment. The Korean Operations Research and Management Science Society, 773-777.
|
6 |
Chang, H.H. et al.. (2009). Development and Application of multi-Interval Volume Prediction Technique using Historical Data. Journal of Korean Society of Transportation, 61, 749-754.
|
7 |
Yoo, S.L. Kim, J.S. Jeong, J.S. Jeong, J.Y. (2014). A Prediction of Marine Traffic Volume using Artificial Neural Network and Time Series Analysis. Jouranl of the Korean Society of Marine Environment & Safety, 133-134.
|
8 |
Jang J.H. et al.(2004), Dynamic Travel Time Prediction Using AVI Data, Journal of Korean Society of Transportation. 22(7). pp.169-175
|
9 |
Beak, S.K. Park, J.B. Chang, H.H. (2003). Multiple-interval freeway traffic flow forecasting with non-parametric regression considering seasonal traffic patterns. Journal of Korean Society of Transportation, 44, 1-6.
|
10 |
Lim, S.H. Lee, H.M. Park S.L. Heo, T.Y. (2013). A Study of Travel Time Prediction using K-Nearest Neighborhood Method, The Korean Journal of Applied Statistics, 26(5), 835-845.
DOI
|