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Traffic flow prediction by an ensemble framework with data denoising and deep learning model
9 references·1 citing·42 second hop
Traffic flow prediction by an ensemble framework with data denoising and deep learning model (2020)Traffic flow prediction by an ensemble fr…Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review (2020)Statistical and machine-learn…Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting (2020)Spatial temporal incidence dy…Traffic flow prediction based on combination of support vector machine and data denoising schemes (2019)Traffic flow prediction based…Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)Short-term traffic flow predi…An effective spatial-temporal attention based neural network for traffic flow prediction (2019)An effective spatial-temporal…Identifying activities and trips with GPS data (2018)Identifying activities and tr…An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017)An Improved Fuzzy Neural Netw…Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)Traffic Flow Prediction for R…Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition (2007)Short‐Term Traffic Volume For…A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction (2021)A hybrid deep learning model …Fitting autoregressive models for prediction (1969)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modelling Transport (2011)Survey on traffic prediction in smart cities (2018)Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction (2019)Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning (2019)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Comparison of 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scale taxi GPS data (2015)Machine-Learning Approaches to Identify Travel Modes Using Smartphone-Assisted Survey and Map Application Programming Interface (2022)A joint and simultaneous prediction framework of weekday and weekend daily-activity travel pattern using conditional dependency networks (2023)Trip purpose prediction using travel survey data with POI information via gradient boosting decision trees (2023)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Urban traffic flow prediction using a fuzzy-neural approach (2002)Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system (2019)A Review of Traffic Congestion Prediction Using Artificial Intelligence (2021)Digital Twin-Assisted Real-Time Traffic Data Prediction Method for 5G-Enabled Internet of Vehicles (2021)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network (2020)FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting (2021)Urban traffic flow prediction techniques: A review (2022)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks (2021)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient (2022)Hazard‐based 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this work references cited by second hop

References

  • 2019Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning385 cited
  • 2017An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic369 cited
  • 2020Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting347 cited
  • 2014Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data346 cited
  • 2007Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition324 cited
  • 2019An effective spatial-temporal attention based neural network for traffic flow prediction288 cited
  • 2019Traffic flow prediction based on combination of support vector machine and data denoising schemes220 cited
  • 2020Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review151 cited
  • 2018Identifying activities and trips with GPS data26 cited

Cited by

  • 2021A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction250 cited

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