Soft discretization in a classification model for modeling adaptive route choice with a fuzzy ID3 algorithm

Transportation Research Record

Volumn , Issue 2076, 2008, Pages 20-28

  Park, Kyounga ^a   Bell, Michael G H ^a   Kaparias, Ioannis ^a   Belzner, Heidrun ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b BMW GROUP   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PROGRAMS; COMPUTER CIRCUITS; DATA MINING; FUZZY LOGIC; LEARNING ALGORITHMS;

BEHAVIOR STUDIES; CLASSIFICATION MODELS; DECISION TREE LEARNING ALGORITHM; DISCRETIZATIONS; FUZZY DECISION TREES; FUZZY ID3; ID3 ALGORITHM; ROUTE CHOICE; ROUTE CHOICE BEHAVIOR; ROUTE CHOICE MODEL;

DECISION TREES;

EID: 61349108091     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2076-03     Document Type: Article

References (17)

1. Quinlan, R. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Francisco, Calif., 1993.
2. Xie, C., J. Lu, and E. Parkany. Work Travel Mode Choice Modeling Using Data Mining: Decision Trees and Neural Networks. In Transportation Research Record: Journal of the Transportation Research Board, No. 1854, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 50-61.
3. Park, K., M. Bell, I. Kaparias, and K. Bogenberger. Learning User Preferences of Route Choice Behaviour for Adaptive Route Guidance. Intelligent Transport Systems, IET, Vol. 1, No. 2, 2007, pp. 159-166.
4. Park, K., M. G. H. Bell, I. Kaparias, and K. Bogenberger. Adaptive Route Choice Model for Intelligent Route Guidance Using a Rule-Based Approach. In Transportation Research Record: Journal of the Transportation Research Board, No. 2000, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 88-97.
5. Yamainoto, T., R. Kitamura, and J. Fujii. Drivers' Route Choice Behavior: Analysis by Data Mining Algorithms. In Transportation Research Record: Journal of the Transportation Research Board., No. 1807, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 59-66.
6. Wets, G., K. Vanhoof, T. Arentze, and H. Timmermans. Identifying Decision Structures Underlying Activity Patterns: An Exploration of Data Mining Algorithms. In Transportation Research Record: Journal of the Transportation Research Board, No. 1718, Transportation Research Board of the National Academies, Washington, D.C., 2000, pp. 1-9.
7. Arentze, T., A. Borgers, F. Hofman, S. Fujii, C. Joh, A. Kikichi, R. Kitamura, H. J. P. Timmermans, and P. Van Der Waerden. Rule-Based Versus Utility Maximizing Models of Activity-Travel Patterns. Presented at 9th International Conference on Travel Behaviour Research, Goldcoast, Queensland, Australia, 2000.
8. Arentze, T., and H. J. P. Timmermans. Parametric Action Decision Trees: Incorporating Continuous Attribute Variables into Rule-Based Models of Activity-Travel Behavior. Presented at 84th Annual Meeting of the Transportation Research Board, Washington, D.C., 2005.
9. Zeidler, J., M. Schlosser, A. Ittner, and C. Posthoff. Fuzzy Decision Trees and Numerical Attributes. Proc., 5th IEEE International Conference on Fuzzy Systems, New Orleans, La., 1996, pp. 985-990.
10. Mitchell, T. Machine Learning. McGraw-Hill International Editions, Singapore, 1997.
11. Janikow, C. Z. Fuzzy Decision Trees: Issues and Methods. IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol. 28, No. 1, 1998, pp. 1-14.
12. Chang, R. L. P., and T. Pavlidis. Fuzzy Decision Tree Algorithms. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 7, No. 1, 1977, pp. 28-35.
13. Chiang, I. J., and J. Y. Hsu. Fuzzy Classification Trees for Data Analysis. Fuzzy Sets and Systems, Vol. 130, No. 1, 2002, pp. 87-99.
14. Umano, M., H. Okamoto, I. Hatono, H. Tamura, F. Kawachi, S. Uinedzu, and J. Kinoshita. Fuzzy Decision Trees by Fuzzy ID3 Algorithm and Its Application to Diagnosis Systems. Proc., 3rd IEEE Conference on Fuzzy Systems, Vol. 3, 1994, pp. 2113-2118.
15. Wang, X., B. Chen, G. Qian, and F. Ye. On the Optimization of Fuzzy Decision Trees. Fuzzy Sets and Systems, Vol. 112, No. 1, 2000, pp. 117-125.
16. Klir, G. J., and Y. Bo. Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall, Upper Saddle River, N.J., 1995.
17. Kaparias, I., M. Bell, Y. Chen, and K. Bogenberger. ICNavS: A Tool for Reliable Dynamic Route Guidance. Intelligent Transport Systems, IET, Vol. 1, No. 4, 2006, pp. 225-233.