Short-term travel time estimation and prediction for long freeway corridor using NN and regression

Jin-Yuan Wang, Ka-Io Wong*, Y. Y. Chen

*Corresponding author for this work

研究成果: Conference contribution同行評審

9 引文 斯高帕斯(Scopus)

摘要

Travel time information is a fundamental component in Advanced Traveler Information System. In this paper, we propose a short-term travel time estimation and prediction framework for long freeway corridor, considering measurements from vehicle detectors (VD) and floating car data (FCD). The modeling approach is based on a modified Nearest-Neighborhood (NN) model with threshold and a regression model capturing the within day variations. The advantages are that our approach allows for missing data without the need of data imputation in real-time, and is suitable for travel time prediction of long corridors. The validation analysis using an 88 km long section of freeway shows satisfactory results.

原文English
主出版物標題2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012
頁面582-587
頁數6
DOIs
出版狀態Published - 21 十二月 2012
事件2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012 - Anchorage, AK, United States
持續時間: 16 九月 201219 九月 2012

出版系列

名字IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012
國家United States
城市Anchorage, AK
期間16/09/1219/09/12

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