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A Study for Traffic Forecasting Using Traffic Statistic Information

교통 통계 정보를 이용한 속도 패턴 예측에 관한 연구

  • Received : 20090800
  • Accepted : 20091000
  • Published : 2009.12.31

Abstract

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.

Keywords

Traffic operating speed;forecasting;fourier transformation;time series regression;grouping

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Cited by

  1. A Study on the Queueing Process with Dynamic Structure for Speed-Flow-Density Diagram vol.23, pp.6, 2010, https://doi.org/10.5351/KJAS.2010.23.6.1179
  2. A Study on Predictive Traffic Information Using Cloud Route Search vol.33, pp.4, 2015, https://doi.org/10.7848/ksgpc.2015.33.4.287
  3. Cluster analysis for highway speed according to patterns and effects vol.29, pp.5, 2016, https://doi.org/10.5351/KJAS.2016.29.5.949