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DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision
10 references·6 citing·39 second hopsampled
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision (2018)DeepTravel: a Neural Network Based Travel…When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks (2018)When Will You Arrive? Estimat…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Artificial Neural Networks Applied to Taxi Destination Prediction (2015)Artificial Neural Networks Ap…Travel time estimation of a path using sparse trajectories (2014)Travel time estimation of a p…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction (2014)Spatiotemporal Patterns in La…Traffic Estimation And Prediction Based On Real Time Floating Car Data (2008)Traffic Estimation And Predic…A Simple and Effective Method for Predicting Travel Times on Freeways (2004)A Simple and Effective Method…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)A Survey of Traffic Predictio…ConSTGAT (2020)ConSTGATA Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system (2019)Sequence to sequence learning…Nei-TTE: Intelligent Traffic Time Estimation Based on Fine-Grained Time Derivation of Road Segments for Smart City (2019)Nei-TTE: Intelligent Traffic …Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)Deep Learning for Intelligent…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Short-term traffic forecasting: Where we are and where we’re going (2014)Using LSTM and GRU neural network methods for traffic flow prediction (2016)LSTM network: a deep learning approach for short‐term traffic forecast (2017)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)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)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Short-term travel time prediction (2003)Online Learning Solutions for Freeway Travel Time Prediction (2008)A review of travel time estimation and forecasting for Advanced Traveller Information Systems (2014)Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps (2017)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)DNN-based prediction model for spatio-temporal data (2016)How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges (2021)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Graph Neural Network for Traffic Forecasting: The Research Progress (2023)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)Exponential Smoothing with an Adaptive Response Rate (1967)The Development of a Self-Adaptive Forecasting Technique (1969)Applied Time Series Analysis for Managerial Forecasting. (1974)Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Short‐term traffic forecasting: Overview of objectives and methods (2004)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)
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References

  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 2014Travel time estimation of a path using sparse trajectories538 cited
  • 2018When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks376 cited
  • 2004A Simple and Effective Method for Predicting Travel Times on Freeways331 cited
  • 2008Traffic Estimation And Prediction Based On Real Time Floating Car Data324 cited
  • 2014Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction223 cited
  • 2015Artificial Neural Networks Applied to Taxi Destination Prediction176 cited

Cited by

  • 2020A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges424 cited
  • 2019Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends416 cited
  • 2021A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation410 cited
  • 2019Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system

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254 cited
  • 2019Nei-TTE: Intelligent Traffic Time Estimation Based on Fine-Grained Time Derivation of Road Segments for Smart City183 cited
  • 2020ConSTGAT172 cited