Application of random forest algorithm to classify vehicles detected by a multiple inductive loop system

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2012, Pages 491-495

  Sheik Mohammed Ali, S ^a   Joshi, Niranjan ^a   George, Boby ^a   Vanajakshi, Lelitha ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION SCHEME; INDUCTIVE LOOPS; MIXED TRAFFIC; PROTOTYPE SYSTEM; RANDOM FOREST ALGORITHM; RANDOM FORESTS; TRAFFIC PARAMETERS;

ALGORITHMS; DECISION TREES; INTELLIGENT SYSTEMS; VEHICLES;

CRYPTOGRAPHY;

EID: 84871190777     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2012.6338719     Document Type: Conference Paper

References (18)

1. Traffic Detector Handbook, U.S. Department of transportation, 3rd Edition, Federal highway Administration, Vol. 1, pp 1.1-4.61, Oct-2006.
2. R. L. Anderson. "Electromagnetic Loop Vehicle Detectors," IEEE Trans. Vehicular Technology, Vol.vt-19, pp. 23-30, February 1970.
3. Martin John Prucha and Mountain View, ''Inductive loop vehicle presence detector," U.S. Patent 3576525, Apr. 27, 1971.
4. Ralph J. Koerner and Canoga Park,"Inductive loop vehicle detector", U.S. Patent 3989932, Nov. 2, 1976.
5. 2MTC-11), Hangzhou, China, May 10-12, 2011, pp. 1413-1417.
6. st 2011, pp. 644-649.
7. 2MTC-12), Graz, Austria , May 13-16, 2012, pp.827-832.
8. M. Pursula and I. Kosonen, "Microprocessor- and PC-based vehicle classification equipment using induction loops," in Proc. IEE 2nd Int. Conf. Road Traffic Monit., 1989, pp. 24-28.
9. th IMEKO Symp., Glasgow, U.K., Sep. 1997.
10. J. Gajda, R. Sroka, "Vehicle classification by parametric identification of the measured signals", Proceedings of XVI IMEKO World Congress, Vienna 2000, vol. IX, pp. 199-204.
11. C. Sun, "An investigation in the use of inductive loop signatures for vehicle classification," Inst. Transp. Stud., Univ. California, Berkeley, CA, California PATH Res. Rep., UCB-ITS-PRR-2000 4, Mar. 2000.
12. R. Sroka, "Data fusion methods based on fuzzy measures in vehicle classification process," in Proc. 21st IEEE IMTC, May 18-20, 2004, vol. 3, pp. 2234-2239.
13. G. H. Zhang, Y. H. Wang, and H. Wei, "Artificial neural network method for length-based vehicle classification using singl loop outputs," Traffic Urban Data, Transp. Res. Rec., no. 1945, pp. 100-108, 2006.
14. Yong-Kul Ki, Doo-Kwon Baik, "Vehicle-Classification Algorithm for Single-Loop Detectors Using Neural Networks," IEEE Trans. Vehicular Technology, Vol. 55, pp. 1704-1711, Nov 2006.
15. Soner Meta and Muhammed G. Cinsdikici, "Vehicle-Classification Algorithm Based on Component Analysis for Single-Loop Inductive Detector," IEEE Trans. on vehicular Technology, Vol. 59, pp. 2795-2805, July 2010.
16. Pattern Recognition and Machine Learning, C. M. Bishop, Springer Science+Business Media LLC, 2006, pp. 663
17. A. Verikas, A. Gelzinis, M. Bacauskiene, "Mining data with random forests: a survey and results of new tests," Pattern Recognition, Vol. 44, pp. 330-349, 2011.
18. Random Forest implementation for Matlab,[Online; accessed http://code.google.com/p/randomforest-matlab/]