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Use of Artificial Intelligence for Mode Choice Analysis and Comparison with Traditional Multinomial Logit Model
0 references·15 citing·44 second hop
Use of Artificial Intelligence for Mode Choice Analysis and Comparison with Traditional Multinomial Logit Model (2013)Use of Artificial Intelligence for Mode C…A systematic review of mode choice behavior in urban transportation with emphasis on individual preferences and influencing factor (2025)A systematic review of mode c…Artificial Intelligence Techniques for Predicting Individuals’ Mode Choice Behavior in Mansoura City, Egypt (2023)Artificial Intelligence Techn…A Comparison of KNN Algorithm and MNL Model for Mode Choice Modelling (2023)A Comparison of KNN Algorithm…Public Transport Passenger Attraction Using Policy Interventions for a Post-COVID Scenario (2022)Public Transport Passenger At…Modeling the Behavior in Choosing the Travel Mode for Long-Distance Travel Using Supervised Machine Learning Algorithms (2022)Modeling the Behavior in Choo…Impact of COVID-19 on mode choice behavior: A case study for Dhaka, Bangladesh (2022)Impact of COVID-19 on mode ch…A random-utility-consistent machine learning method to estimate agents’ joint activity scheduling choice from a ubiquitous data set (2022)A random-utility-consistent m…Performance evaluation of mode choice models under balanced and imbalanced data assumptions (2021)Performance evaluation of mod…Analyzing significant variables for choosing different modes by female travelers (2021)Analyzing significant variabl…Multi-route choice modelling in a metropolitan context: A comparative analysis using Multinomial Logit and Fuzzy Logic based approaches (2020)Multi-route choice modelling …Deep neural networks for choice analysis: Extracting complete economic information for interpretation (2020)Deep neural networks for choi…Deep neural networks for choice analysis: Architecture design with alternative-specific utility functions (2020)Deep neural networks for choi…Transit Shift Response Analysis Through Fuzzy Rule Based-Choice Model: A Case Study of Indian Metropolitan City (2017)Transit Shift Response Analys…Comparison of Different Mode Choice Models for Work Trips using Data Mining Process (2017)Comparison of Different Mode …FUZZY LOGIC APPROACH IN MODE CHOICE MODELLING FOR EDUCATION TRIPS: A CASE STUDY OF INDIAN METROPOLITAN CITY (2015)FUZZY LOGIC APPROACH IN MODE …Fuzzy sets (1965)Journal of Urban Planning and Development (1983)Fuzzy sets (1996)Development of neuro‐fuzzy‐based multimodal mode choice model for commuter in Delhi (2018)Consideration of different travel strategies and choice set sizes in transit path choice modelling (2019)Fuzzy logic as a decision-making support tool in planning transport development (2022)Issues in sustainable transportation (2006)Conditional logit analysis of qualitative choice behavior (1972)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (2016)A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability (2022)A deep Q-learning approach to optimize ordering and dynamic pricing decisions in the presence of strategic customers (2024)A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Scalable Bayesian Optimization Using Deep Neural Networks (2015)BOHB: Robust and Efficient Hyperparameter Optimization at Scale (2018)A deep generative model for feasible and diverse population synthesis (2023)Understanding how street environment affects e-scooter mode choice through travel experience (2024)Gender Differences in Metropolitan Travel Behaviour (1989)Work Travel Mode Choice Modeling with Data Mining: Decision Trees and Neural Networks (2003)Toward a Definition of Mixed Methods Research (2007)Choice of transport in urban and periurban zones in metropolitan area (2022)Constraints to travel outside the local area: Effect on social participation and self-rated health (2023)Practitioners' perspectives on cycling equity: Bridging the gap between planning priorities (2023)Discrete choice methods with simulation (2004)Researching Internet-Based Populations: Advantages and Disadvantages of Online Survey Research, Online Questionnaire Authoring Software Packages, and Web Survey Services (2006)Exploring the impacts of COVID-19 on travel behavior and mode preferences (2020)Theory of Planned Behavior to Understand Commuter’s Perception towards Mass Rapid Transit in Dhaka City, Bangladesh (2023)Exploring the changes in travel behavior between the first and second waves of the COVID-19 pandemic in Dhaka (2024)The why and how of COVID streets: a city-level review of research into motivations and approaches during a crisis (2024)Beyond prediction: Using big data for policy problems (2017)Applying a random forest method approach to model travel mode choice behavior (2018)Machine learning in travel mode choice studies: A systematic literature review of applications, methods, and challenges (2025)A Theory of the Allocation of Time (1965)What about people in Regional Science? (1970)Activity-based disaggregate travel demand model system with activity schedules (2001)Specification Tests for the Multinomial Logit Model (1984)Discrete choice analysis: Theory and application to travel demand (1988)Deep learning applications and challenges in big data analytics (2015)A machine learning comparison of transportation mode changes from high-speed railway promotion in Thailand (2024)Sensitivity evaluation of machine learning-based calibrated transportation mode choice models: A case study of Alexandria City, Egypt (2024)A latent class model for discrete choice analysis: contrasts with mixed logit (2003)The Multi-Agent Transport Simulation MATSim (2016)Cochrane Handbook for Systematic Reviews of Interventions (2019)Enhancing public transport competitiveness in metropolitan areas: Empirical evidence and policy implications from Beijing's commuting (2026)
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  • 2020Deep neural networks for choice analysis: Extracting complete economic information for interpretation117 cited
  • 2020Deep neural networks for choice analysis: Architecture design with alternative-specific utility functions111 cited
  • 2025A systematic review of mode choice behavior in urban transportation with emphasis on individual preferences and influencing factor28 cited
  • 2022Impact of COVID-19 on mode choice behavior: A case study for Dhaka, Bangladesh25 cited
  • 2021Analyzing significant variables for choosing different modes by female travelers21 cited
  • 2015FUZZY LOGIC APPROACH IN MODE CHOICE MODELLING FOR EDUCATION TRIPS: A CASE STUDY OF INDIAN METROPOLITAN CITY19 cited
  • 2023Artificial Intelligence Techniques for Predicting Individuals’ Mode Choice Behavior in Mansoura City, Egypt17 cited
  • 2022Modeling the Behavior in Choosing the Travel Mode for Long-Distance Travel Using Supervised Machine Learning Algorithms12 cited
  • 2017Transit Shift Response Analysis Through Fuzzy Rule Based-Choice Model: A Case Study of Indian Metropolitan City12 cited
  • 2022A random-utility-consistent machine learning method to estimate agents’ joint activity scheduling choice from a ubiquitous data set11 cited
  • 2017Comparison of Different Mode Choice Models for Work Trips using Data Mining Process9 cited
  • 2023A Comparison of KNN Algorithm and MNL Model for Mode Choice Modelling9 cited

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  • 2020Multi-route choice modelling in a metropolitan context: A comparative analysis using Multinomial Logit and Fuzzy Logic based approaches8 cited
  • 2021Performance evaluation of mode choice models under balanced and imbalanced data assumptions5 cited
  • 2022Public Transport Passenger Attraction Using Policy Interventions for a Post-COVID Scenario3 cited