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When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks
5 references·4 citing·27 second hop
When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks (2018)When Will You Arrive? Estimating Travel T…A Simple Baseline for Travel Time Estimation using Large-scale Trip Data (2019)A Simple Baseline for Travel …Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…DNN-based prediction model for spatio-temporal data (2016)DNN-based prediction model fo…Travel time estimation of a path using sparse trajectories (2014)Travel time estimation of a p…Travel time estimation for urban road networks using low frequency probe vehicle data (2013)Travel time estimation for ur…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…ETA Prediction with Graph Neural Networks in Google Maps (2021)ETA Prediction with Graph Neu…A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)A Survey of Traffic Predictio…How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)How to Build a Graph-Based De…Travel-Time Prediction With Support Vector Regression (2004)Understanding transportation modes based on GPS data for web applications (2010)T-share: A large-scale dynamic taxi ridesharing service (2013)Urban Computing (2014)Ridesourcing systems: A framework and review (2019)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)A Spatially Disaggregated Approach to Commuting Efficiency (2006)Commuting Economy (2010)Forecasting principles and practice (2018)Spatial Econometrics: Methods and Models (1988)An Introduction to Spatial Econometrics (2008)Introduction to Spatial Econometrics (2009)Learning to Estimate the Travel Time (2018)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)A Deep Gravity model for mobility flows generation (2021)A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting (2021)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)
this work references cited by second hop

References

  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2016DNN-based prediction model for spatio-temporal data739 cited
  • 2014Travel time estimation of a path using sparse trajectories538 cited
  • 2013Travel time estimation for urban road networks using low frequency probe vehicle data447 cited
  • 2019A Simple Baseline for Travel Time Estimation using Large-scale Trip Data149 cited

Cited by

  • 2021A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation410 cited
  • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
  • 2020How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey298 cited
  • 2021ETA Prediction with Graph Neural Networks in Google Maps266 cited

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