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Modelling Trip Distribution Using Fuzzy Logic Approach
Abstract Fuzzy logic is a soft computing technique, used for handling subjective, ambiguous and imprecise data. The decision to travel and choice of destination resulted from human are affected by socio-economic characteristics and residential locations and places of urban activities of the commuters. The subjective pattern of decision makers can be captured using a fuzzy logic system. The present study focuses the second stage of conventional travel demand modelling i.e. Trip distribution. Fast developing metropolitan city, Surat in South Gujarat has been considered as the study area. Southwest zone administratively delineated by Surat Municipal Corporation is selected as a typical subject area covering nearly 3.69 lakhs population to demonstrate model building on Fuzzy Logic. Subzones eight in number form the trip distribution matrix for the area in developing trip distribution model. The sub-zonal productions, attractions and the distance between the sub-zones are the major inputs for the Fuzzy Logic Trip Distribution Model (FLoTDM). MATLAB FIS toolbox is used for developing the model. The fuzzy model results are compared with the outputs of the traditional Gravity model. Results show that the Fuzzy Logic Trip Distribution Model is giving lesser error compared to the conventional Gravity Model. Hence, Fuzzy Logic approach can be used as a non-traditional trip distribution model.
Modelling Trip Distribution Using Fuzzy Logic Approach
Abstract Fuzzy logic is a soft computing technique, used for handling subjective, ambiguous and imprecise data. The decision to travel and choice of destination resulted from human are affected by socio-economic characteristics and residential locations and places of urban activities of the commuters. The subjective pattern of decision makers can be captured using a fuzzy logic system. The present study focuses the second stage of conventional travel demand modelling i.e. Trip distribution. Fast developing metropolitan city, Surat in South Gujarat has been considered as the study area. Southwest zone administratively delineated by Surat Municipal Corporation is selected as a typical subject area covering nearly 3.69 lakhs population to demonstrate model building on Fuzzy Logic. Subzones eight in number form the trip distribution matrix for the area in developing trip distribution model. The sub-zonal productions, attractions and the distance between the sub-zones are the major inputs for the Fuzzy Logic Trip Distribution Model (FLoTDM). MATLAB FIS toolbox is used for developing the model. The fuzzy model results are compared with the outputs of the traditional Gravity model. Results show that the Fuzzy Logic Trip Distribution Model is giving lesser error compared to the conventional Gravity Model. Hence, Fuzzy Logic approach can be used as a non-traditional trip distribution model.
Modelling Trip Distribution Using Fuzzy Logic Approach
Othayoth, Darshana (author) / Katti, Bhimaji K. (author)
Transportation in Developing Economies ; 3 ; 1-8
2017-07-20
8 pages
Article (Journal)
Electronic Resource
English
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