Imputing erroneous data of single-station loop detectors for nonincident conditions: Comparison between temporal and spatial methods

Journal of Intelligent Transportation Systems: Technology, Planning, and Operations

Volumn 16, Issue 3, 2012, Pages 159-176

  Yin, Weihao ^a   Murray Tuite, Pamela ^a   Rakha, Hesham ^a,b  

^a Virginia Polytechnic Institute and State University   (United States)

^b VIRGINIA TECH TRANSPORTATION INSTITUTE   (United States)

Author keywords

Data correction; Detector; Kernel regression; Linear regression

Indexed keywords

CORRECTION PROCEDURE; DATA CORRECTIONS; DETECTOR STATIONS; ERROR LEVELS; ERROR TYPES; FLOW ESTIMATION; KERNEL REGRESSION; LIGHT TRAFFIC; LOOP DETECTOR; LOOP DETECTOR DATA; SPATIAL CORRECTIONS; TRAFFIC CONDITIONS; TRAFFIC MANAGEMENT; ZERO FLOW;

LINEAR REGRESSION; TRANSPORTATION;

DETECTORS;

COMPARATIVE STUDY; CORRECTION; LIGHT AVAILABILITY; SPATIOTEMPORAL ANALYSIS; TRAFFIC MANAGEMENT;

EID: 84867162135     PISSN: 15472450     EISSN: 15472442     Source Type: Journal    
DOI: 10.1080/15472450.2012.694788     Document Type: Article

References (36)

1. Amin, M. R., & Banks, J. H. (2005). Variation in freeway lane use patterns with volume, time of day, and location. Transportation Research Record, 1934, 132-139.
2. Bikowitz, E. W., & Ross, S. P. (1985). Evaluation and Improvement of Inductive Loop Traffic Detectors. Transportation Research Record, 1010, 76-80.
3. Bowman, A., & Azzalini, A. (1997). Applied smoothing techniques for data analysis. New York, NY: Claredon Press.
4. Carter, M., Rakha, H., & Van Aerde, M. (1999). Variability of trafficflow measures across freeway lanes. Canadian Journal of Civil Engineering, 26, 270-281. (Pubitemid 29473598)
5. Chen, C., Kwon, J., Rice, J., & Skabardonis, A. (2003). Detecting errors and imputing missing data for single loop surveillance systems. Paper presented at the the 82nd Annual Meeting of Transportation Research Board, Washington, DC, January 2003.
6. Chen, L., & May, A. D. (1987). Traffic detector errors and diagnostics. Transportation Research Record, 1132, 82-93.
7. Cleghorn, D., Hall, F. L., & Garbuio, D. (1991). Improved data screening techniques for freeway traffic management system. Transportation Research Record, 1320, 17-23.
8. Daganzo, C. (1997). Fundamentals of transportation and traffic operations. New York, NY: Pergamon-Elsevier.
9. Federal Highway Administration. (1998). Developing Traveler Information Systems Using the National ITS Architecture. Washington, DC: FHWA.
10. Fernandez-Moctezuma, R. J., Tufte, K. A., Maier, D., & Bertini, R. L. (2007). Toward management and imputation of unavailable data in online advanced traveler information systems. Paper presented at the ITSC 2007, Seattle, WA, September-October, 2007.
11. Han, L., Shuai, M., Xie, K., Song, G., & Ma, X. (2010). Locally kernel regression adapting with data distribution in prediction of traffic flow. Paper presented at the 2010 18th International Conference on Geoinformatics, Piscataway, NJ, June 2010.
12. Ishak, S. (2003). Fuzzy-clustering approach to quantify uncertainties of freeway detector observations. Transportation Research Record, 1856, 6-15.
13. Ishak, S., Kondagari, S., & Alecsandru, C. (2007). Probabilistic datadriven approach for real-time screening of freeway traffic data. Transportation Research Record, 2012, 94-104. (Pubitemid 351345437)
14. Jacobson, L. N., Nihan, N. L., & Bender, J. D. (1990). Detecting erroneous loop detector data in a freeway traffic management system. Transportation Research Record, 1287, 151-166.
15. Kikuchi, S., & Milkovic, D. (1999). Method to preprocess observed traffic data for consistency. Application of fuzzy optimization concept. Transportation Research Record, 1679, 73-80. (Pubitemid 30561874)
16. Kwon, J., Chen, C., & Varaiya, P. (2004). Statistical methods for detecting spatial configuration errors in traffic surveillance sensors. Transportation Research Record, 1870, 124-132. (Pubitemid 40025790)
17. Lee, M.-S., Cheong, S.-J., Choi, O.-J., & Meang, B.-Y. (2010). Implementation of a data processing method to enhance the quality and support the what-if analysis for traffic history data. KIPS Transactions, Part D, D17(2), 87-102.
18. Maier, D., Tufte, K., & Fernandez-Moctezuma, R. J. (2009). Improving travel information products via robust estimation techniques. Portland, OR: OTREC.
19. May, A. (1990). Traffic flow fundamentals. Englewood Cliffs, NJ: Prentice Hall.
20. Nadaraya, E. A. (1964). On estimating regression. Theory of Probability and its Applications, 9(1), 141-142.
21. Nguyen, L., & Scherer, W. (2003). Imputation techniques to account for missing data in support of intelligent transportation systems applications. Charlottesville, VA: Center for Transportation Studies, University of Virginia.
22. Nihan, N. L. (1997). Aid to determining freeway metering rates and detecting loop errors. Journal of Transportation Engineering, 123(6), 454-458. (Pubitemid 127619931)
23. Park, E. S., Turner, S., & Spiegelman, C. H. (2003). Empirical approaches to outlier detection in intelligent transportation systems data. Transportation Research Record, 1840, 21-30.
24. Payne, J. H., & Thompson, S. (2007). Malfunction detection and data repair for induction-loop sensors using I-880 data base. Transportation Research Record, 1570, 191-201.
25. Peeta, S., & Anastassopoulos, I. (2002). Automatic real-time detection and correction of erroneous detector data with fourier transforms for online traffic control architectures. Transportation Research Record, 1811, 1-11.
26. Pignataro, L. J. (1973). Traffic engineering: Theory and practice. Englewood Cliffs, NJ: Prentice Hall.
27. Schrank, D., Lomax, T., & Eisele, B. (2011). 2011 Urban mobility report. College Station, TX: Texas Transportation Institute.
28. Smith, B., & Conklin, J. (2002). Use of local lane distribution patterns to estimate missing data values from traffic monitoring systems. Transportation Research Record, 1811, 50-56.
29. Smith, B., & Venkatanarayana, R. (2005). Realizing the promise of intelligent transportation systems (ITS) data archives. Journal of Intelligent Transportation Systems, 9(4), 175-185. (Pubitemid 41569775)
30. Sun, S., & Chen, Q. (2008). Kernel regression with a Mahalanobis metric for short-term traffic flow forecasting. Paper presented at the Intelligent Data Engineering and Automated Learning. 9th International Conference, IDEAL 2008, Daejeon, Korea, November 2008.
31. Takezawa, K. (2006). Introduction to nonparametric regression Hoboken, NJ: Wiley-Interscience.
32. Toppen, A., & Wunderlich, K. (2003). Travel time data collection for measurement ofadvanced traveler information systems accuracy. Falls Church, VA: FHWA.
33. Transportation Research Board. (2000). Highway capacity manual. Washington, DC: TRB.
34. Turner, S. (2004). Defining and measuring traffic data quality: White paper on recommended approaches. Transportation Research Record, 1870, 62-69. (Pubitemid 40025782)
35. Vanajakshi, L., & Rilett, L. R. (2004). Loop detector data diagnostics based on conservation-of-vehicles principle. Transportation Research Record, 1870, 162-169. (Pubitemid 40025795)
36. Weijermars, W. A. M., & Van Berkum, E. C. (2006). Detection of invalid loop detector data in urban areas. Transportation Research Record, 1945, 82-88. (Pubitemid 44874576)