Application of locally weighted regression-based approach in correcting erroneous individual vehicle speed data
- Title
- Application of locally weighted regression-based approach in correcting erroneous individual vehicle speed data
- Author
- 오철
- Keywords
- outlier detection; data correction; locally weighted regression (LWR); global positioning system (GPS); MAP-MATCHING ALGORITHM; DETECTOR DATA; PROBE DATA
- Issue Date
- 2016-03
- Publisher
- WILEY-BLACKWELL
- Citation
- JOURNAL OF ADVANCED TRANSPORTATION, v. 50, No. 2, Page. 180-196
- Abstract
- Because of the quality of raw data being an essential feature in determining the reliability of traffic information, an effective detection and correction of outliers in raw field-collected traffic data has been an interest for many researchers. Global positioning systems (GPS)-based traffic surveillance systems are capable of producing individual vehicle speeds that are vital for transportation researchers and practitioners in traffic management and information strategies. This study proposes a locally weighted regression (LWR)-based filtering method for individual vehicle speed data. To fully and systematically evaluate this proposed method, a technique to generate synthetic outliers and two approaches to inject synthetic outliers are presented. Parameters that affect the smoothing performance associated with LWR are devised and applied to obtain a more robust and reliable data correction method. For a comprehensive performance evaluation of the developed LWR method, comparisons to exponential smoothing (ES) and autoregressive integrated moving average (ARIMA) methods were conducted. Because the LWR-based filtering method outperformed both the ES and ARIMA methods, this study showed its useful benefits in filtering individual vehicle speed data. Copyright (c) 2015 John Wiley Sons, Ltd.
- URI
- https://onlinelibrary.wiley.com/doi/full/10.1002/atr.1325http://hdl.handle.net/20.500.11754/50510
- ISSN
- 0197-6729; 2042-3195
- DOI
- 10.1002/atr.1325
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
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