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Route recommendation method for frequent passengers in subway based on passenger preference ranking
16 references·2 citing·58 second hopsampled
Route recommendation method for frequent passengers in subway based on passenger preference ranking (2024)Route recommendation method for frequent …A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards (2023)A deep inverse reinforcement …Lexicographic multi-objective road pricing optimization considering land use and transportation effects (2021)Lexicographic multi-objective…Incorporating personalization and bounded rationality into stochastic transit assignment model (2021)Incorporating personalization…Data-Driven Approach for Passenger Mobility Pattern Recognition Using Spatiotemporal Embedding (2021)Data-Driven Approach for Pass…Route guidance ranking procedures with human perception consideration for personalized public transport service (2020)Route guidance ranking proced…Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)Prediction and behavioral ana…Enhancing discrete choice models with representation learning (2020)Enhancing discrete choice mod…Incorporating multi-level taste heterogeneity in route choice modeling: From disaggregated behavior analysis to aggregated network loading (2019)Incorporating multi-level tas…An integrated and personalized traveler information and incentive scheme for energy efficient mobility systems (2019)An integrated and personalize…Learning the route choice behavior of subway passengers from AFC data (2017)Learning the route choice beh…Inferring left behind passengers in congested metro systems from automated data (2017)Inferring left behind passeng…Valuing crowding in public transport: Implications for cost-benefit analysis (2016)Valuing crowding in public tr…Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Combining smart card data and…A behavioural comparison of route choice on metro networks: Time, transfers, crowding, topology and socio-demographics (2014)A behavioural comparison of r…Passenger Flow Route Assignment Model and Algorithm for Urban Rail Transit Network (2009)Passenger Flow Route Assignme…Passenger Flow Assignment Model and Algorithm for Urban Railway Traffic Network under the Condition of Seamless Transfer (2007)Passenger Flow Assignment Mod…Distributed dynamic route guidance via passenger information display systems for subway disruption management (2025)Distributed dynamic route gui…A generative adversarial network for inferring age attributes in subway based on automatic fare collection and point of interest data (2024)A generative adversarial netw…A probabilistic multipath traffic assignment model which obviates path enumeration (1971)Conditional logit analysis of qualitative choice behavior (1972)Route choice modeling: past, present and future research directions (2009)An integrated Bayesian approach for passenger flow assignment in metro networks (2015)Estimation of crowding discomfort in public transport: Results from Santiago de Chile (2017)The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the transportation academic literature (2020)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Urban Spatial Structure (2010)Friendship and mobility (2011)Rethinking big data: A review on the data quality and usage issues (2015)Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data (2019)Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data (2019)The measurement of urban travel demand (1974)Applied Welfare Economics with Discrete Choice Models (1981)Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level (1998)Modelling service-specific and global transit satisfaction under travel and user heterogeneity (2018)Demand management of congested public transport systems: a conceptual framework and application using smart card data (2019)Effects of COVID-19 on rail passengers’ crowding perceptions (2021)The potential of public transport smart card data (2005)Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Smart card data use in public transit: A literature review (2011)Estimating metro passengers’ path choices by combining self-reported revealed preference and smart card data (2018)Data-driven approach for solving the route choice problem with traveling backward behavior in congested metro systems (2020)Vehicle dispatching plan for minimizing passenger waiting time in a corridor with buses of different sizes: Model formulation and solution approaches (2021)STATISTICAL DECISION THEORY: FOUNDATIONS, CONCEPTS, AND METHODS (1984)Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground (2010)Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal (2011)Passenger flow control with multi-station coordination in subway networks: algorithm development and real-world case study (2018)Data-driven model for passenger route choice in urban metro network (2019)A Review of Big Data Applications in Urban Transit Systems (2020)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Mixed MNL models for discrete response (2000)Examining non-linear built environment effects on elderly’s walking: A random forest approach (2020)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)Predicting the travel mode choice with interpretable machine learning techniques: A comparative study (2022)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Transit Assignment for Congested Public Transport Systems: An Equilibrium Model (1993)Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites (2006)Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach (2021)A review of public transport transfer synchronisation at the real-time control phase (2022)A systematic review of COVID-19 transport policies and mitigation strategies around the globe (2022)A technique for measurement of attitudes (1932)MODELING THE CHOICE OF RESIDENTIAL LOCATION (1978)Choice modelling in the age of machine learning - Discussion paper (2021)A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability (2022)A deep generative model for feasible and diverse population synthesis (2023)The value of integrated multimodal traveller information and its potential contribution to modal change (2002)Determinants of the effectiveness of travel feedback programs—a review of communicative mobility management measures for changing travel behaviour in Japan (2006)Moving towards sustainability? Mobility styles, attitudes and individual travel behaviour (2011)A machine learning based personalized system for driving state recognition (2019)Selected Aspects of Sustainable Mobility Reveals Implementable Approaches and Conceivable Actions (2021)Context-aware multi-head self-attentional neural network model for next location prediction (2023)Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher (1987)Discrete Choice Methods and their Applications to Short Term Travel Decisions (1999)Handbook of Transportation Science (1999)A Joint Travel Mode and Departure Time Choice Model in Dynamic Multimodal Transportation Networks Based on Deep Reinforcement Learning (2022)On the use of machine learning in supply chain management: a systematic review (2023)Agentic Large Language Models for day-to-day route choices (2025)
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References

  • 2020Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models406 cited
  • 2015Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing265 cited
  • 2014A behavioural comparison of route choice on metro networks: Time, transfers, crowding, topology and socio-demographics179 cited
  • 2020Enhancing discrete choice models with representation learning152 cited
  • 2016Valuing crowding in public transport: Implications for cost-benefit analysis101 cited
  • 2017Learning the route choice behavior of subway passengers from AFC data90 cited
  • 2023A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards89 cited
  • 2019An integrated and personalized traveler information and incentive scheme for energy efficient mobility systems65 cited
  • 2017Inferring left behind passengers in congested metro systems from automated data51 cited
  • 2020Route guidance ranking procedures with human perception consideration for personalized public transport service51 cited
  • 2021Incorporating personalization and bounded rationality into stochastic transit assignment model38 cited
  • 2021Lexicographic multi-objective road pricing optimization considering land use and transportation effects36 cited
  • 2007Passenger Flow Assignment Model and Algorithm for Urban Railway Traffic Network under the Condition of Seamless Transfer

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30 cited
  • 2019Incorporating multi-level taste heterogeneity in route choice modeling: From disaggregated behavior analysis to aggregated network loading19 cited
  • 2021Data-Driven Approach for Passenger Mobility Pattern Recognition Using Spatiotemporal Embedding16 cited
  • 2009Passenger Flow Route Assignment Model and Algorithm for Urban Rail Transit Network16 cited
  • Cited by

    • 2024A generative adversarial network for inferring age attributes in subway based on automatic fare collection and point of interest data4 cited
    • 2025Distributed dynamic route guidance via passenger information display systems for subway disruption management3 cited