Hybrid models toward traffic detector data treatment and data fusion

2005 IEEE Networking, Sensing and Control, ICNSC2005 - Proceedings

Volumn 2005, Issue , 2005, Pages 525-530

  Wen, Yuh Horng ^b   Lee, Tsu Tian ^a,b,c   Cho, Hsun Jung ^b  

^a IEEE   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^c NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Data fusion; Data processing; Traffic detectors; Traffic information systems

Indexed keywords

DATA FUSION; TRAFFIC DETECTORS; TRAFFIC INFORMATION SYSTEMS;

EXTRAPOLATION; MATHEMATICAL MODELS; MOTOR TRANSPORTATION; NEURAL NETWORKS; PARAMETER ESTIMATION; SENSOR DATA FUSION; TIME SERIES ANALYSIS;

DATA PROCESSING;

EID: 33745174817     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNSC.2005.1461245     Document Type: Conference Paper

References (24)

1. A. Abdel, R. Kitamura, P. Jovanis, "Using stated preference data for studying the effect of advanced traffic information on drivers' route choice," Transpartation esearch C, vol. 5, pp. 39-50, 1997.
2. J. L. Deng, "Properties of relational space for grey system," in Essential Topics on rey System Theory and Applications, J. L. Deng, Ed. China Ocean, Beijing, 1988, pp. 1-13.
3. J. L. Deng, "Introduction to grey system theory," Journal of rey System, vol. 1(1), 1-24, 1989.
4. J. W. C. v. Lint, and N. J. Zijpp, "An improved travel-time estimation algorithm using dual-loop detectors," in Proc. nd Transportation search Board Annual Meeting, Washington, D.C., 2003.
5. J. L. Elman, "Finding structure in time," Cagniti e Science, vol. 14, pp. 179-211, 1990.
6. E. J. Redfern, S.M. Watson, M.R. Tight, S.D. Clark, "A comparative assessment of current and new techniques for detecting outliers and estimating missing values in transport related time series data," Proc. PT C European Transport Highways and Planning " Summer Annual Meeting, vol. 363, pp. 163-174, 1993.
7. H. Chen, S: Grant-Muller, L. Mussone, F. Kontgomery, "A study of hybrid neural network approaches and the effects of missing data on traffic forecasting," Neural Computing and Applications, vol. 10, pp. 277-286, 2001.
8. J. W. C. v. Lint, S.P. Hoogendorn, H.J. v. Zuylen, "Freeway travel time prediction with state-space neural networks," Transportation esearch ecords, no. 1811, pp. 30-39, 2002.
9. J. W. C. v. Lint, S.P. Hoogendorn, H.J. v. Zuylen, "Toward a robust framework for freeway travel time prediction: experiments with simple imputation and state-space neural networks," in Proc. nd Transportation esearch Board Annual Meeting, Washington, D.C., 2003.
10. J. F. Lawless, J. D. Kalbfleisch, "Semi-parametric methods for response-selective and missing data," Journal oyal Statistical Soc Series B Statistical Methodology, vol. 61, no. 2, pp.413-438, 1999.
11. W. J. Fitzgerald, "The restoration of missing data using Bayesian numerical methods," Proc ICASSP, vol. I-VI, 1999.
12. P. Dempster, N.M. Laird, D.B. Rubin, "Maximum likelihood estimation from incomplete data via the EM algorithm," Journal oyal Statistical Soc Series B Statistical Methodology, vol. 39, pp. 1-38, 1977.
13. J. L. Schafer, Analysis of Incomplete Multi ariate Data, Chapman & Hall, London, pp. 193-239, 1997.
14. E. Gelfand, A.F.M. Smith, "Sampling-based approaches to calculating marginal densities," Journal of American Statistical Association, vol. 85, pp. 398-409, 1990.
15. D. J. Dailey, "Travel time estimation using cross-correlation techniques," Transportation esearch B, vol. 27, pp. 97-107, 1993.
16. D. H. Nam, and D. R. Drew, "Traffic dynamics: method for estimating freeway travel times in real time from flow measurements," Journal of Transportation Engineering, vol. 122, pp. 185-191, 1996.
17. Y. J. Stephanedes, and A. P. Chassiakos, "Application of filtering techniques for incident detection," Journal of Transportation Engineering, vol. 119, no. 1, pp. 13-26, 1993.
18. B. Coifman, "Estimating travel times and vehicle trajectories on freeways using dual loop detectors," Transportation esearch A, vol. 36, pp. 351-364, 2002.
19. P. Nelson, and P. Palacharla, "A neural network model for data fusion in ADVANCE," presented at the 1993 Transtech Pacific Rim Conference, Seattle, July 25, 1993.
20. P. Palacharla, and P. Nelson, "Application of fuzzy logic and neural networks for dynamic travel time estimation," International Transaction in perational esearch, vol. 6, pp. 145-160, 1999.
21. A. Dharia, H. Adeli, "Neural network model for rapid forecasting of freeway link travel time," Engineering Applications of Artificial Intelligence, vol. 16, pp. 607-613, 2003.
22. J. S. Oh, R. Jayakrishnan, W. Recker, "Section travel time estimation from point detector data", Institute of Transportation Studies, U.C. Irvin, Rep. UCI-ITS-WP-02-11, 2002.
23. X. Huang, and Q. Zhu, "A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets", Pattern ecognition etters, Vol. 23, pp. 1613-1622, 2002.
24. R. Little, and R. Rubin, Statistical Analysis with Missing Data, Wiley, New York, 1987.