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Examining the Possibility of Fuzzy Set Theory Application in Travel Demand Modelling
14 references·2 citing·38 second hop
Examining the Possibility of Fuzzy Set Theory Application in Travel Demand Modelling (2010)Examining the Possibility of Fuzzy Set Th…Multiple Attribute Decision Making: Methods and Applications (2011)Multiple Attribute Decision M…A hybrid approach to combine fuzziness and randomness in travel choice prediction (2007)A hybrid approach to combine …30th Australasian Transport Research Forum (2007)30th Australasian Transport R…Multilayer feedforward networks for transportation mode choice analysis: An analysis and a comparison with random utility models (2005)Multilayer feedforward networ…Trip distribution forecasting with multilayer perceptron neural networks: A critical evaluation (2000)Trip distribution forecasting…Handbook of Transport Modelling (2000)Handbook of Transport Modelli…A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice (2000)A comparison of the predictiv…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Forecasting travel demand: a comparison of logit and artificial neural network methods (1998)Forecasting travel demand: a …Another insight into artificial neural networks through behavioural analysis of access mode choice (1998)Another insight into artifici…Fuzzy sets (1996)Fuzzy setsFuzzy Set Theory and Its Applications (1993)Fuzzy Set Theory and Its Appl…Multiple Attribute Decision Making: Methods and Applications (1981)Multiple Attribute Decision M…The Calibration of Trip Distribution Models (1969)The Calibration of Trip Distr…Spatial distribution of urban trips in recently expanded Surat city through Fuzzy Logic with various clustering Techniques: A case study of typical metropolitan city in India (2017)Spatial distribution of urban…PREDICTING URBAN TRIP GENERATION USING A FUZZY EXPERT SYSTEM (2012)PREDICTING URBAN TRIP GENERAT…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)The calibration of trip distribution models with exponential or similar cost functions (1971)Spatial Interaction Models:Formulations and Applications (1988)Spatial interaction modelling (2003)Distance-decay functions for daily travel-to-work flows (2014)Modifiable Areal Unit Problem (2017)Deep neural networks for choice analysis: Extracting complete economic information for interpretation (2020)Discrete Choice Analysis: Theory and Application to Travel Demand. 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  • 2012

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PREDICTING URBAN TRIP GENERATION USING A FUZZY EXPERT SYSTEM
7 cited
  • 2017Spatial distribution of urban trips in recently expanded Surat city through Fuzzy Logic with various clustering Techniques: A case study of typical metropolitan city in India6 cited