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Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced Records From Smart-Cards: A Deep Learning Approach
16 references·2 citing·47 second hopsampled
Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced Records From Smart-Cards: A Deep Learning Approach (2023)Predicting Hourly Boarding Demand of Bus …Taxi hailing choice behavior and economic benefit analysis of emission reduction based on multi-mode travel big data (2020)Taxi hailing choice behavior …Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility (2019)Who, Where, Why and When? Usi…The influence of weather conditions on adult transit ridership in the sub-tropics (2019)The influence of weather cond…Stochastic bus schedule coordination considering demand assignment and rerouting of passengers (2019)Stochastic bus schedule coord…Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data (2019)Incorporating weather conditi…Evaluation of urban public transport priority performance based on the improved TOPSIS method: A case study of Wuhan (2018)Evaluation of urban public tr…Modelling bus bunching and holding control with vehicle overtaking and distributed passenger boarding behaviour (2017)Modelling bus bunching and ho…Identifying passenger flow characteristics and evaluating travel time reliability by visualizing AFC data: a case study of Shanghai Metro (2016)Identifying passenger flow ch…Designing robust schedule coordination scheme for transit networks with safety control margins (2016)Designing robust schedule coo…Capturing the conditions that introduce systematic variation in bike-sharing travel behavior using data mining techniques (2016)Capturing the conditions that…Bus bunching along a corridor served by two lines (2016)Bus bunching along a corridor…A real-time bus dispatching policy to minimize passenger wait on a high frequency route (2015)A real-time bus dispatching p…A model of bus bunching under reliability-based passenger arrival patterns (2015)A model of bus bunching under…Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods (2013)Performance of corporate bank…Modelling Urban Bus Service and Passenger Reliability. (2007)Modelling Urban Bus Service a…Estimation of the distribution of travel times by repeated simulation (2007)Estimation of the distributio…Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments (2025)Brain activity patterns refle…A data-driven framework for natural feature profile of public transport ridership: Insights from Suzhou and Lianyungang, China (2024)A data-driven framework for n…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Classifiers consensus system approach for credit scoring (2016)An investigation of bankruptcy prediction in imbalanced datasets (2018)The valuation of reliability for personal travel (2001)Monitoring and Predicting Freeway Travel Time Reliability (2005)Direct versus indirect models for the effects of unreliability (2006)A copula-based approach for estimating the travel time reliability of urban arterial (2017)Analysis of bus travel time distributions for varying horizons and real-time applications (2017)Control Strategies for an Idealized Public Transportation System (1972)The Holding Problem with Real–Time Information Available (2001)A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons (2009)Mixed logical dynamical modeling and hybrid model predictive control of public transport operations (2018)Robustness and disturbances in public transport (2022)Bus network design (1986)Planning, operation, and control of bus transport systems: A literature review (2015)Simulation-based robust optimization of limited-stop bus service with vehicle overtaking and dynamics: A response surface methodology (2019)A review of public transport transfer coordination at the tactical planning phase (2021)Vehicle dispatching in modular transit networks: A mixed-integer nonlinear programming model (2021)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Commuting by Bicycle: An Overview of the Literature (2009)Infrastructure, programs, and policies to increase bicycling: An international review (2009)A high resolution agent-based model to support walk-bicycle infrastructure investment decisions: A case study with New York City (2017)Hybrid cluster-regression approach to model bikeshare station usage (2017)Optimal location of bike-sharing stations: A built environment and accessibility approach (2022)Transit capacity and quality of service manual (2003)Autonomous shuttle bus service timetabling and vehicle scheduling using skip-stop tactic (2019)Joint optimization of scheduling and capacity for mixed traffic with autonomous and human-driven buses: A dynamic programming approach (2020)Urban sustainable transportation indicators for global comparison (2011)How the present would have looked like? Impact of non-motorized transport and public transport infrastructure on travel behavior, energy consumption and CO 2 emissions – Delhi, Pune and Patna (2016)Public transportation and sustainability: A review (2016)Evaluating the urban land use plan with transit accessibility (2018)Determining the relative importance of sustainability evaluation criteria of urban transportation network (2019)System Dynamics Approach for Evaluating the Interconnection Performance of Cross-Border Transport Infrastructure (2022)Transit Assignment for Congested Public Transport Systems: An Equilibrium Model (1993)Creating bus timetables with maximal synchronization (2001)Transfer-based customized modular bus system design with passenger-route assignment optimization (2021)U.S. Environmental Protection Agency (US-EPA) (1989)Sustainable transport: analysis frameworks (2004)Cycling and the built environment, a US perspective (2005)Impact of COVID-19 on Urban Mobility during Post-Epidemic Period in Megacities: From the Perspectives of Taxi Travel and Social Vitality (2020)Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semi-parametric GWPR model (2021)Many-objective optimization of multi-mode public transportation under carbon emission reduction (2023)Real-time holding control for high-frequency transit with dynamics (2015)A predictive-control framework to address bus bunching (2017)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2013Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods215 cited
  • 2017Modelling bus bunching and holding control with vehicle overtaking and distributed passenger boarding behaviour177 cited
  • 2015A real-time bus dispatching policy to minimize passenger wait on a high frequency route137 cited
  • 2019Stochastic bus schedule coordination considering demand assignment and rerouting of passengers124 cited
  • 2007Estimation of the distribution of travel times by repeated simulation106 cited
  • 2016Designing robust schedule coordination scheme for transit networks with safety control margins100 cited
  • 2016Capturing the conditions that introduce systematic variation in bike-sharing travel behavior using data mining techniques93 cited
  • 2020Taxi hailing choice behavior and economic benefit analysis of emission reduction based on multi-mode travel big data87 cited
  • 2016Bus bunching along a corridor served by two lines85 cited
  • 2018Evaluation of urban public transport priority performance based on the improved TOPSIS method: A case study of Wuhan80 cited
  • 2015A model of bus bunching under reliability-based passenger arrival patterns66 cited
  • 2007Modelling Urban Bus Service and Passenger Reliability.65 cited
  • 2019Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data64 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2016Identifying passenger flow characteristics and evaluating travel time reliability by visualizing AFC data: a case study of Shanghai Metro61 cited
  • 2019The influence of weather conditions on adult transit ridership in the sub-tropics56 cited
  • 2019Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility45 cited
  • Cited by

    • 2024A data-driven framework for natural feature profile of public transport ridership: Insights from Suzhou and Lianyungang, China16 cited
    • 2025Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments11 cited