A fuzzy inference based assignment algorithm to estimate O-D matrix from link volume counts

Computers, Environment and Urban Systems

Volumn 22, Issue 5, 1998, Pages 409-423

  Harikishan Reddy, K ^a   Chakroborty, Partha ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ESTIMATION;

ORIGIN DESTINATION TRIP DEMAND MATRIX; TRAVEL ANALYSIS;

FUZZY SETS;

ALGORITHM; FUZZY MATHEMATICS; PLANNING METHOD; TRANSPORTATION PLANNING; TRAVEL BEHAVIOR;

EID: 0345040788     PISSN: 01989715     EISSN: None     Source Type: Trade Journal    
DOI: 10.1016/S0198-9715(98)00037-4     Document Type: Article

References (17)

1. Bell, M. G. (1991). The estimation of origin-destination matrices by constrained generalized least squares. Transportation Research 25B(1), 13-22.
2. Bierlair, M., & Toint, Ph. L. (1995). MEUSE: An origin-destination matrix estimator that exploits structure. Transportation Research 29B(1), 47-60.
3. Cascetta, E. (1984). Estimation of trip matrices f rom traffic counts and survey data: A generalized least squares approach estimator. Transportation Research 18B(4), 289-299.
4. Dial, R. (1971). A probabilistic traffic assignment model which obviated path enumeration. Transportation Research 5B.
5. Fisk, C. S. (1988). On combining maximum entropy matrix estimation with user optimal assignment. Transportation Research 22B(1), 69-73.
6. Fisk, C. S. (1989). Trip matrix estimation from link traffic counts: The congested network case. Transportation Research 23B(5), 331-336.
7. Goldberg, D. E. (1989). Genetic algorithms in search, optimization and machine learning. Reading, MA: Addison-Wesley.
8. Gothe, M. B., Jornsten, K. O., & Lundgren, J. (1989). Estimation of origin-destination matrices from traffic counts using multiobjective programming formulations. Transportation Research 23B(4), 257-269.
9. Kikuchi, S., & Chakroborty, P. (1995). Fuzzy neural network control of complex systems: A study on longitudinal vehicle control. In Proceedings of WCNN (pp. 84-92). Vol. 3, Washington, DC, U.S.A.
10. Krishnakumar, K. (1989). Microgenetic algorithms for stationary and nonstationary function optimization. In SPIE Proceedings (pp. 288-296). Vol. 1196-32.
11. Nguyen, S. (1984). Estimating origin-destination matrices from observed flows. In Florian (Ed.), Transportation Planning Models (pp. 363-380). North-Holland: Elsevier.
12. Park, D., & Kandel, A. (1994). Genetic-based new Fuzzy Reasoning Models with Application to Fuzzy Control, IEEE Transactions on Systems, Man and Cybernetics 24(1), 39-47.
13. Sheffi, Y. (1985). Urban transportation networks: Equilibrium analysis with mathematical programming methods. Englewood Cliffs, NJ: Prentice-Hall.
14. Van Zuylen, J. H., & Willumsen, L. G. (1980). The most likely trip matrix estimated from traffic counts. Transportation Research 14B, 281-293.
15. Yang, H., Sasaki, T., Iida, Y., & Asakura, Y. (1992). Estimation of O-D matrices from link traffic counts on congested networks. Transportation Research 26B(6), 417-434.
16. Yang, H., Iida, Y., & Sasaki, T. (1994). The equilibrium based origin-destination matrix problem. Transportation Research 28B(1), 23-33.
17. Zimmermann, H. J. (1991). Fuzzy set theory and its applications. Dordrecht: Kluwer Academic Publishers.