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A Study for Traffic Forecasting Using Traffic Statistic Information
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 Title & Authors
A Study for Traffic Forecasting Using Traffic Statistic Information
Choi, Bo-Seung; Kang, Hyun-Cheol; Lee, Seong-Keon; Han, Sang-Tae;
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The traffic operating speed is one of important information to measure a road capacity. When we supply the information of the road of high traffic by using navigation, offering the present traffic information and the forecasted future information are the outstanding functions to serve the more accurate expected times and intervals. In this study, we proposed the traffic speed forecasting model using the accumulated traffic speed data of the road and highway and forecasted the average speed for each the road and high interval and each time interval using Fourier transformation and time series regression model with trigonometrical function. We also propose the proper method of missing data imputation and treatment for the outliers to raise an accuracy of the traffic speed forecasting and the speed grouping method for which data have similar traffic speed pattern to increase an efficiency of analysis.
Traffic operating speed;forecasting;fourier transformation;time series regression;grouping;
 Cited by
동적구조를 갖는 대기행렬 모형: Speed-Flow-Density 다이어그램을 중심으로,박유성;전새봄;

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