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Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks
6 references·1 citing·27 second hop
Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks (2002)Freeway Travel Time Prediction with State…An object-oriented neural network approach to short-term traffic forecasting (2001)An object-oriented neural net…Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network (1999)Forecasting Freeway Link Trav…Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network (1998)Short-Term Freeway Traffic Vo…Using stated preference data for studying the effect of advanced traffic information on drivers' route choice (1997)Using stated preference data …The impact of traffic information: Dynamics in route and departure time choice (1993)The impact of traffic informa…Forecasting with Dynamic Regression Models (1991)Forecasting with Dynamic Regr…AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting (2021)AST-GCN: Attribute-Augmented …Transportation research (1975)MODELING SCHEDULE DEVIATIONS OF BUSES USING AUTOMATIC VEHICLE-LOCATION DATA AND ARTIFICIAL NEURAL NETWORKS (1995)Artificial Neural Network-Based Approach To Modeling Trip Production (1996)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)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Dynamic prediction of traffic volume through Kalman filtering theory (1984)A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)Travel time prediction with LSTM neural network (2016)Road Traffic Forecasting: Recent Advances and New Challenges (2018)A Beta-logistic Model for the Analysis of Sequential Labor Force Participation by Married Women (1977)Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data (1983)A Dynamic Empirical Analysis of Household Vehicle Ownership and Utilization (1985)Accurate freeway travel time prediction with state-space neural networks under missing data (2005)Which road do I take? A learning-based model of route-choice behavior with real-time information (2010)Value of travel time reliability: A review of current evidence (2012)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)Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Bus Arrival Time Prediction Using Support Vector Machines (2006)Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)Pedestrian route-choice and activity scheduling theory and models (2003)Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature (2005)Post-traumatic stress disorder: a right temporal lobe syndrome? (2010)Policy uncertainty and international financial markets: the case of Brexit (2018)The Effect of Austerity Packages on Government Popularity During the Great Recession (2021)
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References

  • 2001An object-oriented neural network approach to short-term traffic forecasting409 cited
  • 1991Forecasting with Dynamic Regression Models367 cited
  • 1999Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network345 cited
  • 1997Using stated preference data for studying the effect of advanced traffic information on drivers' route choice312 cited
  • 1998Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network175 cited
  • 1993The impact of traffic information: Dynamics in route and departure time choice49 cited

Cited by

  • 2021AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting281 cited

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