教師資料查詢 | 類別: 期刊論文 | 教師: 溫裕弘 Yuh-Horng Wen (瀏覽個人網頁)

標題:Missing data treatment and data fusion toward travel time estimation for ATIS
學年94
學期1
出版(發表)日期2005/09/01
作品名稱Missing data treatment and data fusion toward travel time estimation for ATIS
作品名稱(其他語言)
著者Wen, Yuh-horng; Lee, Tsu-tian; Cho, Hsun-jung
單位淡江大學運輸管理學系
出版者Eastern Asia Society for Transportation Studies
著錄名稱、卷期、頁數Journal of the Eastern Asia Society for Transportation Studies, Vol. 6, pp.2546-2560 (2005)
摘要This study develops a travel time estimation process by integrating a missing data treatment and data-fusion-based approaches. In missing data treatment, this study develops a grey time-series model and a grey-theory-based pseudo-nearest-neighbor method to recover, respectively, temporal and spatial missing values in traffic detector data sets. Both spatial and temporal patterns of traffic data are also considered in travel time data fusion. In travel time data fusion, this study presents a speed-based link travel time extrapolation model for analytical travel time estimation and further develops a recurrent neural network (RNN) integrated with grey models for real-time travel time estimation. In the case study, field data from the national freeway no.1 in Taiwan is used as a case study for testing the proposed models. Study results showed that the grey-theory-based missing data treatment models were accurate for recovering missing values. The grey-based RNN models were capable of accurately predicting travel times. Consequently, the results of this study indicated that the proposed missing data treatment and data fusion approaches can ensure the accuracy of travel time estimation with incomplete data sets, and are therefore suited to implementation for ATIS. © 2005 Eastern Asia Society for Transportation Studies.
關鍵字
語言英文
ISSN
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別日本
公開徵稿Y
出版型式,紙本
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