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Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction
16 references·4 citing·38 second hop
Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction (2019)Contextualized Spatial–Temporal Network f…Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks (2018)Predicting Multi-step Citywid…Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Deep Multi-View Spatial-Tempo…Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach (2018)Combining time-series and tex…The Simpler The Better (2017)The Simpler The BetterShort-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Short-term forecasting of pas…Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks (2017)Real-Time Prediction of Taxi …DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks (2017)DeepSD: Supply-Demand Predict…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction (2017)A Long Short-Term Memory Recu…Latent Space Model for Road Networks to Predict Time-Varying Traffic (2016)Latent Space Model for Road N…Predicting Taxi–Passenger Demand Using Streaming Data (2013)Predicting Taxi–Passenger Dem…Prediction of urban human mobility using large-scale taxi traces and its applications (2012)Prediction of urban human mob…Where to find my next passenger (2011)Where to find my next passeng…Dynamic Origin–Destination Demand Estimation Using Automatic Vehicle Identification Data (2006)Dynamic Origin–Destination De…Transport demand model estimation from traffic counts (1989)Transport demand model estima…A unified framework for estimating or updating origin/destination matrices from traffic counts (1988)A unified framework for estim…Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data (2021)Understanding Private Car Agg…Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method (2021)Short-term origin-destination…Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network (2020)Predicting origin-destination…Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction (2020)Physical-Virtual Collaboratio…Time series forecasting using a hybrid ARIMA and neural network model (2003)Automatic Time Series Forecasting: The forecast Package for R (2008)Understanding individual human mobility patterns (2008)Ridesourcing systems: A framework and review (2019)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit (1977)Urban Travel Demand: A Behavioral Analysis (1977)The theory and practice of econometrics (1986)Equilibrium traffic assignment for large scale transit networks (1988)Estimation of origin-destination matrices from link traffic counts on congested networks (1992)Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts (1993)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. (1978)Land-Use Classification Using Taxi GPS Traces (2012)Urban big data fusion based on deep learning: An overview (2019)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Taxi Dispatch System Based on Current Demands and Real-Time Traffic Conditions (2004)Real-Time City-Scale Taxi Ridesharing (2014)Urban Computing (2014)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Traffic prediction in a bike-sharing system (2015)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach (2018)Driving with knowledge from the physical world (2011)Ad click prediction (2013)Bitcoin price prediction using machine learning: An approach to sample dimension engineering (2019)Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks (2021)Quantifying the benefits of vehicle pooling with shareability networks (2014)Deep learning methods in transportation domain: a review (2018)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)
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References

  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2018Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction1,248 cited
  • 2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited
  • 2013Predicting Taxi–Passenger Demand Using Streaming Data739 cited
  • 1988A unified framework for estimating or updating origin/destination matrices from traffic counts369 cited
  • 2012Prediction of urban human mobility using large-scale taxi traces and its applications369 cited
  • 2011Where to find my next passenger354 cited
  • 2017Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks311 cited
  • 2017The Simpler The Better275 cited
  • 2017DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks206 cited
  • 2006Dynamic Origin–Destination Demand Estimation Using Automatic Vehicle Identification Data204 cited
  • 2017A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction201 cited
  • 2018Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach194 cited
  • 2016Latent Space Model for Road Networks to Predict Time-Varying Traffic179 cited

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  • 2018Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks156 cited
  • 1989Transport demand model estimation from traffic counts109 cited
  • Cited by

    • 2020Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network239 cited
    • 2020Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction199 cited
    • 2021Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method187 cited
    • 2021Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data175 cited