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Modeling Metro Passenger Routing Choices with a Fully Differentiable End-to-End Simulation-Based Optimization (SBO) Approach
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Modeling Metro Passenger Routing Choices with a Fully Differentiable End-to-End Simulation-Based Optimization (SBO) Approach (2025)Modeling Metro Passenger Routing Choices …Modeling Multimodal Curbside Usage in Dynamic Networks (2024)Modeling Multimodal Curbside …Understanding passenger route choice behavior under the influence of detailed route information based on smart card data (2023)Understanding passenger route…Statistical inference of travelers’ route choice preferences with system-level data (2023)Statistical inference of trav…Exploring for Route Preferences of Subway Passengers Using Smart Card and Train Log Data (2022)Exploring for Route Preferenc…Efficient Simulation-Based Toll Optimization for Large-Scale Networks (2021)Efficient Simulation-Based To…Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data (2021)Calibrating Path Choices and …Probabilistic model for destination inference and travel pattern mining from smart card data (2020)Probabilistic model for desti…Metro system disruption management and substitute bus service: a systematic review and future directions (2020)Metro system disruption manag…Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs (2020)Estimating multi-class dynami…High-dimensional offline origin-destination (OD) demand calibration for stochastic traffic simulators of large-scale road networks (2019)High-dimensional offline orig…Data-driven model for passenger route choice in urban metro network (2019)Data-driven model for passeng…Estimation of Passenger Route Choice Pattern Using Smart Card Data for Complex Metro Systems (2016)Estimation of Passenger Route…Does crowding affect the path choice of metro passengers? (2015)Does crowding affect the path…An integrated Bayesian approach for passenger flow assignment in metro networks (2015)An integrated Bayesian approa…Smart card data use in public transit: A literature review (2011)Smart card data use in public…A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. SPECIFICATION AND SOME CALIBRATION RESULTS FOR INTERURBAN NETWORKS (1996)Washington DC - USA (2008)Learning the route choice behavior of subway passengers from AFC data (2017)Railway dangerous goods transportation system risk analysis: An Interpretive Structural Modeling and Bayesian Network combining approach (2020)Property, Privacy, and Personal Data (2004)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Mining smart card data for transit riders’ travel patterns (2013)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground (2010)Twenty Years of Rail Crowding Valuation Studies: Evidence and Lessons from British Experience (2010)Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal (2011)The underlying effect of public transport reliability on users’ satisfaction (2019)A Review of Big Data Applications in Urban Transit Systems (2020)Urban transportation networks: Equilibrium analysis with mathematical programming methods (1986)Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future (2001)Urban Human Mobility (2019)Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1992)Stochastic Kriging for Simulation Metamodeling (2009)INTRODUCTION TO STOCHASTIC SEARCH AND OPTIMIZATION: ESTIMATION, SIMULATION, AND CONTROL (2012)Metamodel-based simulation optimization: A systematic literature review (2021)Simulation-based optimization of large-scale dedicated bus lanes allocation: Using efficient machine learning models as surrogates (2022)Simulation-based dynamic origin–destination matrix estimation on freeways: A Bayesian optimization approach (2023)Growth, innovation, scaling, and the pace of life in cities (2007)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Data-driven approach for solving the route choice problem with traveling backward behavior in congested metro systems (2020)Passenger arrival distribution model and riding guidance on an urban rail transit platform (2021)Passenger itinerary inference model for congested urban rail networks (2021)Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts (1993)The multi-class, multi-criteria traffic network equilibrium and systems optimum problem (2003)A general formulation for multi-modal dynamic traffic assignment considering multi-class vehicles, public transit and parking (2019)End-to-End Learning of User Equilibrium with Implicit Neural Networks (2022)The bus bridging problem in metro operations: conceptual framework, models and algorithms (2009)Optimizing Bus Bridging Services in Response to Disruptions of Urban Transit Rail Networks (2015)Plan-based flexible bus bridging operation strategy (2018)Evaluating the flooding level impacts on urban metro networks and travel demand: behavioral analyses, agent-based simulation, and large-scale case study (2022)Real-time dispatching of operating buses during unplanned disruptions to urban rail transit system (2022)Urban rail transit disruption management based on passenger guidance and extended bus bridging service considering uncertain bus running time (2024)Travel Time and Transfer Analysis Using Transit Smart Card Data (2010)Validating travel behavior estimated from smartcard data (2014)Crowding cost estimation with large scale smart card and vehicle location data (2016)Exploring Transit Use during COVID-19 Based on XGB and SHAP Using Smart Card Data (2022)eXplainable DEA approach for evaluating performance of public transport origin-destination pairs (2024)Iterative DEA for public transport transfer efficiency in a super-aging society (2025)Investigating spatio-temporal mobility patterns and changes in metro usage under the impact of COVID-19 using Taipei Metro smart card data (2021)Inferring passenger responses to urban rail disruptions using smart card data: A probabilistic framework (2022)The relative roles of different land-use types in bike-sharing demand: A machine learning-based multiple interpolation fusion method (2023)
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References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2015An integrated Bayesian approach for passenger flow assignment in metro networks151 cited
  • 2016Estimation of Passenger Route Choice Pattern Using Smart Card Data for Complex Metro Systems134 cited
  • 2015Does crowding affect the path choice of metro passengers?122 cited
  • 2020Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs87 cited
  • 2020Probabilistic model for destination inference and travel pattern mining from smart card data64 cited
  • 2019High-dimensional offline origin-destination (OD) demand calibration for stochastic traffic simulators of large-scale road networks62 cited
  • 2020Metro system disruption management and substitute bus service: a systematic review and future directions56 cited
  • 2019Data-driven model for passenger route choice in urban metro network52 cited
  • 2022Exploring for Route Preferences of Subway Passengers Using Smart Card and Train Log Data30 cited
  • 2021Efficient Simulation-Based Toll Optimization for Large-Scale Networks27 cited
  • 2021Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data26 cited
  • 2023Understanding passenger route choice behavior under the influence of detailed route information based on smart card data22 cited

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  • 2024Modeling Multimodal Curbside Usage in Dynamic Networks20 cited
  • 2023Statistical inference of travelers’ route choice preferences with system-level data17 cited
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