Exploring Smoothing Techniques for Reliable Travel-Time Information in Probe-Based Systems
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초록
With the increasing popularity of electronic toll collection system using 5.8 GHz dedicated short-range communications (DSRC) technology, DSRC-based travel-time collection systems have been deployed on major urban and rural arterial routes in Korea. However, since probe sample sizes are frequently insufficient in probe-based systems, the gathered travel times from probe vehicles fluctuate significantly compared to those of the population; as a result, the accuracy of the collected travel times could decrease. To mitigate the fluctuations (also known as biases), smoothing techniques need to be applied. In this study, some smoothing techniques—moving average, the Loess, and Savitzky-Golay filtering—were applied to probe travel times. Resultantly, the error in the smoothed travel times at the lowest sampling plan (5%) decreased as much as 45% compared to those in non-smoothed travel times. The results of this study can be practically applied to probe-based travel-time estimation systems for providing reliable travel times along the travel corridor.
Abstract
With the increasing popularity of electronic toll collection system using 5.8 GHz dedicated short-range communications (DSRC) technology, DSRC-based travel-time collection systems have been deployed on major urban and rural arterial routes in Korea. However, since probe sample sizes are frequently insufficient in probe-based systems, the gathered travel times from probe vehicles fluctuate significantly compared to those of the population; as a result, the accuracy of the collected travel times could decrease. To mitigate the fluctuations (also known as biases), smoothing techniques need to be applied. In this study, some smoothing techniques—moving average, the Loess, and Savitzky-Golay filtering—were applied to probe travel times. Resultantly, the error in the smoothed travel times at the lowest sampling plan (5%) decreased as much as 45% compared to those in non-smoothed travel times. The results of this study can be practically applied to probe-based travel-time estimation systems for providing reliable travel times along the travel corridor.
참고문헌 (17)
- Boxel D. V., "An Innovative Real-Time Methodology for Detecting Travel Time Outliers on Interstate Highways and Urban Arterials", TRB 2011 Annual Meeting CD-ROM (2011)
- Clark S. D., "Cleaning of Matched License Plate Data", Transportation Research Record, Transportation Research Board, (1804) (2002)
- Cleveland W. S., "Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting", Journal of the American Statistical Association, 83, pp.596~610 (1988)[DOI]
- Cleveland W. S., "Robust Locally Weighted Regression and Smoothing Scatterplots", Journal of the American Statistical Association, 74, pp.829~836 (1979)[DOI]
- Csiszar C., "Method for analysis and prediction of dwell times at stops in local bus transportation", Transportation, 32, pp.302~313 (2016)[DOI]
- Dion F., "Estimating Dynamic Roadway Travel Times Using Automatic Vehicle Identification Data", Transportation Research Part B, 40(9), pp.745~766 (2006)[DOI]
- Eisels W., "Estimating corridor Travel Time Using Point and Probe Detector Data (Implications for Emerging Intelligent Transportation Systems Data Sources and Performance measurement)" (2012), Lambert Academic Publishing
- Ferguson T. S., "Rules for Rejection of Outliers", Revue Inst. Int. de Stat. (RINSA), 29(3), pp.29~43 (1961)[DOI]
- Guest P. G., "Numerical Methods of Curve Fitting", pp.147~ (2012), Cambridge University Press
- ITS Korea, Hitecom System., "Development of Practical Technology for DSRC Traffic Information System" (2008), Korea Expressway Corporation
- Jang J., "Data-Cleaning Technique for Reliable Real-Life Travel Time Estimation (Use of Dedicated Short-Range Communications Probes on Rural Highways)", Transportation Research Record, (2593) (2016)
- Ma X., "Estimation of the Automatic Vehicle Identification Based Spatial Travel Time In-formation Collected in Stockholm", IET Intelligent Transport Systems, 4(4), pp.298~306 (2010)[DOI]
- MathWorks, "Curve Fitting Toolbox User's Guide, Version 1" (2004)
- "NIST/SEMATECH e-Handbook of Statistical Methods"[URL]
- Savitzky A., "Smoothing and Differentiation of Data by Simplified Least Squares Procedures", Analytic Chemistry, 36(8), pp.1627~1639 (1964)
- Soltesz T., "Information System for Road Infrastructure Booking", Periodica Polytechnica Transportation Engineering, 39(2), pp.55~62 (2011)[DOI]
- Southwest Research Institute, "Automatic Vehicle Identification Model Deployment Initiative-System Design Document" (1998)