The Multimodal Approach to The Modelling of Modal Split

Authors

  • Andrzej Szarata Cracow University of Technology, Faculty of Civil Engineering, Department of Transportation Systems, Cracow, Poland Author

DOI:

https://doi.org/10.5604/08669546.1146968

Keywords:

modal split modelling, Mamdani Fuzzy Inference System, Park and Ride

Abstract

Transport in cities plays a crucial role in the lives of inhabitants. Development of cities affects the functional aspects of the network include the emergence of new areas of traffic generators. Unsuited infrastructure causes many negative effects that outraged the standard of living in cities. In this paper the concept of Park and Ride was presented as a way to cope with the growing volume of traffic. Full procedure for estimating the contribution of different modes of transport including the Park and Ride was presented. Additionally, an important part of the article is devoted to a description of full Delphic approach, applied for membership function (MF) shape definition of chosen function, estimating linguistic variable.

References

Deb, S. K., "Fuzzy set approach in mass transit mode choice," Uncertainty Modeling and Analysis, 1993. Proceedings, Second International Symposium on, vol., no., pp.262,268, Apr 1993, pp. 25-28.

Holland R., Fuzzy Logic Model of Mode Choice, European Transport Conference, Homerton College Conference Centre, Cambridge, United Kingdom. January 2000.

Kacprzyk J., Zbiory rozmyte w analizie systemowej. Państwowe Wydawnictwo Naukowe, Warszawa, 1986.

Mamdani E.H., Assilina S., An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man- Machine Studies, vol. 7(1), pp. 1-13, 1975.

Ping-Teng Ch., Liang-Chih H., Homg-Jiun L., The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources. Fuzzy Sets and Systems, Volume 112. Issue 3, 16 June 2000, pp. 511-520.

Prokopowicz, A.K. Sotnikov, V., An Application of A Hybrid Fuzzy Logic and Expert System to Transportation Modal Split Evaluation, Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE.

Sarkar A., Sahoo G., Sahoo U.C., Application of Fuzzy Logic in Tansport Planning, International Journal on Soft Computing (IJSC) Vol.3, No.2, May 2012.

Sawrup M., Jaeseok K., Raghu K., An overview of membership function generation techniques for pattern recognition. International Journal of Approximate Reasoning, Volume 19, Issues 3-4, October-November 1998, Pages 391 - 417.

Szarata A., Starostina T., Mamdani’s Fuzzy Inference System as a tool for multimodal split modeling, 17th International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Engineering, Weimar, Germany, July 2006.

Szarata A., Defining share of Park and Ride trips using Fuzzy Inference System, llth Euro Working Group of Transportation conference, Bari, September 2006.

Szarata A., Ocena efektywności funkcjonalnej systemu parkingów przesiadkowych (P+R). Doctoral dissertation. Cracow University of Technology, Krakow, 2005.

Wiegers K. "Delphic Method”, Trang Hoang Nguyen Post, 28 August 2001.

Wolfram Research, Mathematica Manual, Academic Copy, Wolfram Media, 2012.

Yang, Liya, Guo Zheng, and Xiaoning Zhu. "Cross-nested logit model for the joint choice of residential location, travel mode, and departure time." Habitat International 38(2013), pp. 157-166.

Zadeh L.A., The concept of a linguistic variable and its application to approximate reasoning. Inf. Sci. 8, 9, 1975.

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Published

2014-03-31

Issue

Section

Original articles

How to Cite

Szarata, A. (2014). The Multimodal Approach to The Modelling of Modal Split. Archives of Transport, 29(1), 55-63. https://doi.org/10.5604/08669546.1146968

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