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Neural network based temporal feature models for short-term railway passenger demand forecasting
3 references·16 citing·50 second hop
Neural network based temporal feature models for short-term railway passenger demand forecasting (2008)Neural network based temporal feature mod…Principles of Forecasting (2001)Principles of ForecastingThe M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Time Series Forecasting with …Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data (2022)Estimating on-board passenger…Demand forecasting based machine learning algorithms on customer information: an applied approach (2022)Demand forecasting based mach…Short-term forecasts on individual accessibility in bus system based on neural network model (2021)Short-term forecasts on indiv…Revenue management forecasting: The resiliency of advanced booking methods given dynamic booking windows (2020)Revenue management forecastin…Personalized predictive public transport crowding information with automated data sources (2020)Personalized predictive publi…Passenger demand forecasting in scheduled transportation (2019)Passenger demand forecasting …Framework for Onboard Bus Comfort Level Predictions Using the Markov Chain Concept (2019)Framework for Onboard Bus Com…A review of demand forecasting models and methodological developments within tourism and passenger transportation industry (2019)A review of demand forecastin…A Novel Bus-Dispatching Model Based on Passenger Flow and Arrival Time Prediction (2019)A Novel Bus-Dispatching Model…Evaluating the impact of new lines on entrance/exit passenger flow of adjacent existing stations in urban rail transit system (2017)Evaluating the impact of new …SARIMA modelling approach for railway passenger flow forecasting (2016)SARIMA modelling approach for…A mesoscopic transit assignment model including real-time predictive information on crowding (2016)A mesoscopic transit assignme…Dynamic Demand Forecasting and Ticket Assignment for High-Speed Rail Revenue Management in China (2015)Dynamic Demand Forecasting an…A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction (2010)A novel hybrid optimization a…Light rail passenger demand forecasting by artificial neural networks (2009)Light rail passenger demand f…Forecasting demand of commodities after natural disasters (2009)Forecasting demand of commodi…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Time series prediction: Forecasting the future and understanding the past (1994)An emergency logistics distribution routing model for unexpected events (2016)Forecasting in humanitarian operations: Literature review and research needs (2020)A systematic review of prediction methods for emergency management (2021)Combining forecasts: A review and annotated bibliography (1989)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Smoothing, Forecasting and Prediction of Discrete Time Series. 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this work references cited by second hop

References

  • 2000The M3-Competition: results, conclusions and implications1,700 cited
  • 2001Principles of Forecasting1,178 cited
  • 1998Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data419 cited

Cited by

  • 2016SARIMA modelling approach for railway passenger flow forecasting142 cited
  • 2019Passenger demand forecasting in scheduled transportation106 cited
  • 2009Forecasting demand of commodities after natural disasters87 cited
  • 2019A review of demand forecasting models and methodological developments within tourism and passenger transportation industry74 cited
  • 2022Demand forecasting based machine learning algorithms on customer information: an applied approach73 cited
  • 2016A mesoscopic transit assignment model including real-time predictive information on crowding55 cited
  • 2019A Novel Bus-Dispatching Model Based on Passenger Flow and Arrival Time Prediction50 cited
  • 2022Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data49 cited
  • 2015Dynamic Demand Forecasting and Ticket Assignment for High-Speed Rail Revenue Management in China49 cited
  • 2020Personalized predictive public transport crowding information with automated data sources45 cited
  • 2010A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction

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44 cited
  • 2020Revenue management forecasting: The resiliency of advanced booking methods given dynamic booking windows42 cited
  • 2017Evaluating the impact of new lines on entrance/exit passenger flow of adjacent existing stations in urban rail transit system25 cited
  • 2021Short-term forecasts on individual accessibility in bus system based on neural network model24 cited
  • 2009Light rail passenger demand forecasting by artificial neural networks17 cited
  • 2019Framework for Onboard Bus Comfort Level Predictions Using the Markov Chain Concept16 cited