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FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction
7 references·0 citing·23 second hopsampled
FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction (2019)FGST: Fine-Grained Spatial-Temporal Based…Rebalancing Bike Sharing Systems (2016)Rebalancing Bike Sharing Syst…Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Cityride: A Predictive Bike Sharing Journey Advisor (2012)Cityride: A Predictive Bike S…Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Understanding Bike-Sharing Sy…Strategic and Operational Planning of Bike-Sharing Systems by Data Mining – A Case Study (2011)Strategic and Operational Pla…Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Urban cycles and mobility pat…Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)A modeling framework for the dynamic management of free-floating bike-sharing systems (2018)Time Series Analysis: Forecasting and Control. (1978)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Mining bicycle sharing data for generating insights into sustainable transport systems (2013)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Dynamic Bike Reposition (2018)Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems (2018)Citywide Bike Usage Prediction in a Bike-Sharing System (2019)Optimizing the location of stations in bike-sharing programs: A GIS approach (2012)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)The scaling laws of human travel (2006)Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system (2019)A Hybrid Machine Learning Model for Demand Prediction of Edge-Computing-Based Bike-Sharing System Using Internet of Things (2020)Predicting station level demand in a bike‐sharing system using recurrent neural networks (2020)Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)
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References

  • 2010Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system446 cited
  • 2015Traffic prediction in a bike-sharing system361 cited
  • 2011Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns307 cited
  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2016Rebalancing Bike Sharing Systems194 cited
  • 2012Cityride: A Predictive Bike Sharing Journey Advisor121 cited
  • 2011Strategic and Operational Planning of Bike-Sharing Systems by Data Mining – A Case Study79 cited

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