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
著錄名稱、卷期、頁數 Journal of the Eastern Asia society for transportation studies 6, p.2546-2560
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.
關鍵字 missing data treatment;data fusion;travel time estimation;grey and neural network models;ATIS
語言 en
ISSN
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度 否
國別 JPN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/62110 )

機構典藏連結