The modeling of mode choices of intercity freight transportation with the artificial neural networks and adaptive neuro-fuzzy inference system

Expert Systems with Applications

Volumn 36, Issue 3 PART 2, 2009, Pages 6199-6217

  Tortum, Ahmet ^a   Yayla, Nadir ^b   Gökdaǧ, Mahir ^a  

^a ATATÜRK UNIVERSITY   (Turkey)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Freight transportation; Fuzzy logic; Hybrid algorithm; Inference system; Mode choices; Neural networks; Neuro fuzzy

Indexed keywords

COMMERCE; COMPUTER CIRCUITS; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INFERENCE ENGINES; NEURAL NETWORKS; SHIPS;

ADAPTIVE NEURO FUZZY INFERENCE SYSTEMS (ANFIS); ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; HYBRID ALGORITHMS; INFERENCE SYSTEMS; MODE CHOICE; NEURO-FUZZY; NON-LINEAR RELATIONSHIPS; TRANSPORTATION PLANNING;

FREIGHT TRANSPORTATION;

EID: 58549103497     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.07.032     Document Type: Article

References (37)

1. Abdelwahab W., and Sayed T. Artificial neural networks: A new approach to behavioral mode choice modeling. Civil Engineering and Environmental Systems (1999)
2. Akbulut S., Hasiloglu A.S., and Pamukcu S. Data generation for shear modulus and damping ratio in reinforced sands using adaptive neuro-fuzzy inference system. Soil Dynamics and Earthquake Engineering 24 11 (2004) 805-814
3. Annual statistics of Turkey (1999-2000). D.İ.E., Ankara, Turkey.
4. Ben-Akiva M., and Lerman S.R. Discrete choice analysis: Theory and application to travel demand (1985), MIT Press, Cambridge, MA
5. Buckley J.J., and Hayashi Y. Fuzzy neural networks. In: Yager R.R., and Zadeh L.A. (Eds). Fuzzy, sets neural networks and soft computing (1994), Van Nostrand Reinhold, New York 233-249
6. Cramer J.S. The LOGIT model: An introduction for economists (1991), Routledge, Chapman and Hall Inc, New York
7. Demir, Y. K. (1997). Modeling of transportation demand with artificial neural network. M.Sc thesis. Istanbul Technical University.
8. Donald A.W. A guide to expert systems (1986), Addison-Wesley, Reading. MA
9. Draper N.R., and Smith H. Applied regression analysis (1981), Wiley, New York
10. Fi{dotless}rat, D. (1998). A modal split model in freight transport. A case study: Ankara-Istanbul line. M.Sc thesis. Istanbul Technical University.
11. Gerçek H. Demand analysis in freight transport: Models and problems (1982), İ.T.Ü, Istanbul (pp. 1-14)
12. Jang, J. R. S. (1991). Fuzzy modeling using generalized neural networks and Kalman filter algorithm. In Proceedings of the ninth national conference on artificial intelligence (AAAI-91) (pp. 762-767).
13. Jang J.R.S. ANFIS: Adaptive-network-based fuzzy inference systems. IEEE Transactions on Systems, Man, and Cybernetics 23 03 (1993) 665-685
14. Jang J.S.R., Sun C.T., and Mizutani E. Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence (1997), Prentice Hall International (UK) Limited, London
15. Kandel A. Fuzzy expert systems (1988), Addison-Wesley
16. Kandel A. Fuzzy expert systems (1992), CRC Press, Boca Raton, FL
17. Kaya M.D., Hasiloglu A.S., Bayramoglu M., Yesilyurt H., and Ozok A.F. A new approach to estimate anthropometric measurements by adaptive neuro-fuzzy inference system. International Journal of Industrial Ergonomics 32 (2003) 105-114
18. Liebowitz J. The dynamics of decision support system and expert system (1990), The Dryden Press, Orlando
19. Liebowitz J., and DeSalvo D.A. Structuring expert systems: domain, design, and development (1989), Prentice-Hall, Englewood Cliffs, NJ
20. McFadden D. Econometric models of probabilistic choice. In: Mansky C.F., and McFadden D. (Eds). Structural analysis of discrete data with econometric application (1981), MIT Press, Cambridge, MA
21. Nayak P.C., Sudheer K.P., Rangan D.M., and Ramasastri K.S. A neuro-fuzzy computing technique for modeling hydrological time series. Journal of Hydrology 291 1-2 (2004) 52-66
22. Nijkamp P., Reggiani A., and Tritapepe T. Modelling inter-urban transport flows in Italy: A comparison between neural network approach and logit analysis. Transportation Research C 4 (1996) 323-338
23. Nijkamp P., Reggiani A., and Tsang W.F. Comparative modelling of interregional transport flows: Applications to multimodal European freight transport. European Journal of Operational Research 155 3 (2004) 584-602
24. Ortuzar J., and Willumsen L. Modeling transport (1994), Wiley, England
25. Pedrycz W. Fuzzy control and fuzzy systems (1989), Wiley, New York
26. Rumelhart D.E., Hinton G.E., and William R.J. Learning internal representations by error propagation. In: Rumelhart D.E., and McClelland J.L. (Eds). Parallel distributed processing: Explorations in the microstructure of cognition Vol. 1-8 (1986), The MIT Press 318-362
27. Sayed T., and Razavi A. Comparison of neural and conventional approaches to mode choice analysis. Journal of Computing in Civil Engineering 14 1 (2000) 23-30
28. Sugeno M. Industrial applications of fuzzy control (1985), Elsevier Science Pub. Co
29. Sugeno M., and Kang G.T. Structure identification of fuzzy model. Fuzzy Sets and Systems 28 (1988) 15-33
30. Takagi T., and Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics 15 (1985) 116-132
31. Tavasszy L.A. Modelling European freight transport flows (1996), Delft University of Technology, Delft
32. The research project on transportation and infrastructure improvement of G.A.P. region, T.D.S.T. (1993).
33. The update of feasibility studies for seven railway lines, third term report (1996). Istanbul Technical University, Transportation and transportation tool UYG-AR center.
34. Tortum, A. (2003). The modeling of mode choices of intercity freight transportation with the artificial neural networks and integrated neuro-fuzzy system. PhD thesis, Atatürk University, in Turkish.
35. Vincent C.Y. Rule selection in fuzzy expert systems. Expert Systems with Applications 9 16 (1999) 79-84
36. Werbos, P. (1974). Beyond regression: New tools for prediction and analysis in the behavioral sciences. PhD thesis. Harvard University.
37. Zadeh L.A. Information and control. Fuzzy Sets 8 (1965) 338-353