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Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network
3 references·16 citing·36 second hop
Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network (1998)Short-Term Freeway Traffic Volume Forecas…Artificial Neural Network-Based Approach To Modeling Trip Production (1996)Artificial Neural Network-Bas…MODELING SCHEDULE DEVIATIONS OF BUSES USING AUTOMATIC VEHICLE-LOCATION DATA AND ARTIFICIAL NEURAL NETWORKS (1995)MODELING SCHEDULE DEVIATIONS …Transportation research (1975)Transportation researchLong-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture (2020)Long-Term Traffic Prediction …Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models (2020)Forecasting Transportation Ne…Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)Short-term traffic flow predi…LSTM network: a deep learning approach for short‐term traffic forecast (2017)LSTM network: a deep learning…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Traffic volume forecasting based on radial basis function neural network with the consideration of traffic flows at the adjacent intersections (2014)Traffic volume forecasting ba…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Adaptive Kalman filter approa…Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Forecasting the short-term me…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition (2007)Short‐Term Traffic Volume For…Forecasting of Short-Term Freeway Volume with v-Support Vector Machines (2007)Forecasting of Short-Term Fre…Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)Short-Term Freeway Traffic Fl…Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting (2005)Dynamic Wavelet Neural Networ…Short‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecastin…Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks (2002)Freeway Travel Time Predictio…Location and Land Use: Toward a General Theory of Land Rent (1964)Measuring Urban Form: Is Portland Winning the War on Sprawl? (2004)Should Urban Transit Subsidies Be Reduced? (2009)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)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Time Series Analysis: Forecasting and Control. (1978)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Travel-Time Prediction With Support Vector Regression (2004)Urban Computing (2014)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)A modeling framework for the dynamic management of free-floating bike-sharing systems (2018)DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)Forecasting with artificial neural networks: (1998)Statistical and Econometric Methods for Transportation Data Analysis (2003)Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Applications of Artificial Intelligence and Machine learning in smart cities (2020)A Review of Traffic Congestion Prediction Using Artificial Intelligence (2021)
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References

  • 1975Transportation research1,027 cited
  • 1995MODELING SCHEDULE DEVIATIONS OF BUSES USING AUTOMATIC VEHICLE-LOCATION DATA AND ARTIFICIAL NEURAL NETWORKS49 cited
  • 1996Artificial Neural Network-Based Approach To Modeling Trip Production11 cited

Cited by

  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2017LSTM network: a deep learning approach for short‐term traffic forecast1,899 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
  • 2014Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification653 cited
  • 2004Short‐term traffic forecasting: Overview of objectives and methods599 cited
  • 2011Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks475 cited
  • 2006Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach449 cited
  • 2019Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning385 cited
  • 2005Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting367 cited
  • 2007Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition

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324 cited
  • 2002Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks288 cited
  • 2020Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture267 cited
  • 2007Forecasting of Short-Term Freeway Volume with v-Support Vector Machines179 cited
  • 2014Traffic volume forecasting based on radial basis function neural network with the consideration of traffic flows at the adjacent intersections173 cited
  • 2020Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models152 cited