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Dynamic Travel Time Prediction Using AVI Data  

Jang, Jin-Hwan (한국건설기술연구원)
Baik, Nam-Cheol (한국건설기술연구원)
Kim, Sung-Hyun (한국건설기술연구원)
Byun, Sang-Cheol (한국건설기술연구원)
Publication Information
Journal of Korean Society of Transportation / v.22, no.7, 2004 , pp. 169-175 More about this Journal
Abstract
This paper develops a dynamic travel time prediction model for ATIS in a national highway. While there have been many research on travel time prediction, none of them is for national highway in Korea. The study uses AVI data installed on the national highway No.1 with 10km interval for travel time prediction model, and probe vehicle data for evaluating the model. The study area has many access points, so there are many outlying observations in the raw AVI data. Therefore, this study uses the algorithm proposed by the author for removing the outliers, and then Kalman filtering algorithm is applied for the travel time prediction. The prediction model is performed for 5, 10, 15 and 30 minute-aggregating interval and the results are $0.061{\sim}0.066$ for 5, 10 and 15 interval and 0.078 for 30 minute one with a little low performance as MAREs.
Keywords
AVI; ATIS;
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