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Application of radial basis function and generalized regression neural networks in non-linear utility function specification for travel mode choice modelling
8 references·16 citing·40 second hop
Application of radial basis function and generalized regression neural networks in non-linear utility function specification for travel mode choice modelling (2006)Application of radial basis function and …Quantitative Methods for Analysing Travel Behaviour of Individuals (2021)Quantitative Methods for Anal…Multilayer feedforward networks for transportation mode choice analysis: An analysis and a comparison with random utility models (2005)Multilayer feedforward networ…Work Travel Mode Choice Modeling with Data Mining: Decision Trees and Neural Networks (2003)Work Travel Mode Choice Model…Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles (2000)Joint mixed logit models of s…A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice (2000)A comparison of the predictiv…Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level (1998)Mixed Logit with Repeated Cho…Transportation demand analysis (1983)Transportation demand analysisProbability, statistics, and decision for civil engineers (1970)Probability, statistics, and …Application of Artificial Neural Networks (ANN) in Investigating Travel Mode Choice: A Case Study of Langsa-Penang Passenger Ferry (2025)Application of Artificial Neu…Comparing hundreds of machine learning and discrete choice models for travel demand modeling: An empirical benchmark (2024)Comparing hundreds of machine…Predicting transport mode choice preferences in a university district with decision tree-based models (2023)Predicting transport mode cho…Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India (2022)Machine learning techniques f…Causality and Advanced Models in Trip Mode Prediction: Interest in Choosing Swissmetro (2022)Causality and Advanced Models…Application of Machine Learning Classifiers for Mode Choice Modeling for Movement-Challenged Persons (2022)Application of Machine Learni…Modeling vehicle ownership with machine learning techniques in the Greater Tamale Area, Ghana (2021)Modeling vehicle ownership wi…Modeling Intercity Travel Mode Choice with Data Balance Changes: A Comparative Analysis of Bayesian Logit Model and Artificial Neural Networks (2021)Modeling Intercity Travel Mod…A fusing NS with NN model for the consequence prediction of vapor cloud explosion (2021)A fusing NS with NN model for…Deep neural networks for choice analysis: Extracting complete economic information for interpretation (2020)Deep neural networks for choi…A review of Machine Learning (ML) algorithms used for modeling travel mode choice (2019)A review of Machine Learning …Development of neuro‐fuzzy‐based multimodal mode choice model for commuter in Delhi (2018)Development of neuro‐fuzzy‐ba…Decision tree method for modeling travel mode switching in a dynamic behavioral process (2015)Decision tree method for mode…A new logit‐artificial neural network ensemble for mode choice modeling: a case study for border transport (2015)A new logit‐artificial neural…A review of mode choice modelling techniques for intra-city and border transport (2014)A review of mode choice model…Travel Mode Choice Modeling Based on Improved Probabilistic Neural Network (2010)Travel Mode Choice Modeling B…Discrete Choice Analysis: Theory and Application to Travel Demand. 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this work references cited by second hop

References

  • 1998Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level2,161 cited
  • 1970Probability, statistics, and decision for civil engineers1,880 cited
  • 2000Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles749 cited
  • 2021Quantitative Methods for Analysing Travel Behaviour of Individuals569 cited
  • 1983Transportation demand analysis275 cited
  • 2003Work Travel Mode Choice Modeling with Data Mining: Decision Trees and Neural Networks211 cited
  • 2000A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice182 cited
  • 2005Multilayer feedforward networks for transportation mode choice analysis: An analysis and a comparison with random utility models135 cited

Cited by

  • 2020Deep neural networks for choice analysis: Extracting complete economic information for interpretation117 cited
  • 2022Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India107 cited
  • 2019A review of Machine Learning (ML) algorithms used for modeling travel mode choice62 cited
  • 2024Comparing hundreds of machine learning and discrete choice models for travel demand modeling: An empirical benchmark55 cited
  • 2015Decision tree method for modeling travel mode switching in a dynamic behavioral process49 cited

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  • 2015A new logit‐artificial neural network ensemble for mode choice modeling: a case study for border transport36 cited
  • 2023Predicting transport mode choice preferences in a university district with decision tree-based models26 cited
  • 2014A review of mode choice modelling techniques for intra-city and border transport18 cited
  • 2022Application of Machine Learning Classifiers for Mode Choice Modeling for Movement-Challenged Persons17 cited
  • 2010Travel Mode Choice Modeling Based on Improved Probabilistic Neural Network15 cited
  • 2022Causality and Advanced Models in Trip Mode Prediction: Interest in Choosing Swissmetro15 cited
  • 2021Modeling vehicle ownership with machine learning techniques in the Greater Tamale Area, Ghana14 cited
  • 2018Development of neuro‐fuzzy‐based multimodal mode choice model for commuter in Delhi13 cited
  • 2021A fusing NS with NN model for the consequence prediction of vapor cloud explosion13 cited
  • 2021Modeling Intercity Travel Mode Choice with Data Balance Changes: A Comparative Analysis of Bayesian Logit Model and Artificial Neural Networks9 cited
  • 2025Application of Artificial Neural Networks (ANN) in Investigating Travel Mode Choice: A Case Study of Langsa-Penang Passenger Ferry5 cited