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Travel time prediction with LSTM neural network
8 references·5 citing·43 second hop
Travel time prediction with LSTM neural network (2016)Travel time prediction with LSTM neural n…Trend Modeling for Traffic Time Series Analysis: An Integrated Study (2015)Trend Modeling for Traffic Ti…A gradient boosting method to improve travel time prediction (2015)A gradient boosting method to…Application of the ARIMA Models to Urban Roadway Travel Time Prediction - A Case Study (2006)Application of the ARIMA Mode…Accurate freeway travel time prediction with state-space neural networks under missing data (2005)Accurate freeway travel time …Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…Improving a Travel-Time Estimation Algorithm by Using Dual Loop Detectors (2003)Improving a Travel-Time Estim…An object-oriented neural network approach to short-term traffic forecasting (2001)An object-oriented neural net…DynaMIT: a simulation-based system for traffic prediction (1998)DynaMIT: a simulation-based s…Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)Temporal Multi-Graph Convolut…Traffic speed prediction for urban transportation network: A path based deep learning approach (2019)Traffic speed prediction for …Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system (2019)Sequence to sequence learning…Multi-output bus travel time prediction with convolutional LSTM neural network (2018)Multi-output bus travel time …Learning to Estimate the Travel Time (2018)Learning to Estimate the Trav…A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. 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(2004)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting (2020)Traffic flow prediction models – A review of deep learning techniques (2021)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Short-term prediction of lane-level traffic speeds: A fusion deep learning model (2019)Artificial intelligence-based traffic flow prediction: a comprehensive review (2023)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction (2020)DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (2021)Urban traffic flow prediction techniques: A review (2022)Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction (2023)
this work references cited by second hop

References

  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2015A gradient boosting method to improve travel time prediction874 cited
  • 2005Accurate freeway travel time prediction with state-space neural networks under missing data448 cited
  • 2001An object-oriented neural network approach to short-term traffic forecasting409 cited
  • 1998DynaMIT: a simulation-based system for traffic prediction203 cited
  • 2006Application of the ARIMA Models to Urban Roadway Travel Time Prediction - A Case Study166 cited
  • 2015Trend Modeling for Traffic Time Series Analysis: An Integrated Study165 cited
  • 2003Improving a Travel-Time Estimation Algorithm by Using Dual Loop Detectors155 cited

Cited by

  • 2020Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction305 cited
  • 2018Multi-output bus travel time prediction with convolutional LSTM neural network295 cited
  • 2018Learning to Estimate the Travel Time269 cited
  • 2019Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system254 cited
  • 2019Traffic speed prediction for urban transportation network: A path based deep learning approach214 cited

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