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Deep learning methods in transportation domain: a review
10 references·5 citing·33 second hop
Deep learning methods in transportation domain: a review (2018)Deep learning methods in transportation d…Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Short-term forecasting of pas…Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks (2017)Real-Time Prediction of Taxi …LSTM network: a deep learning approach for short‐term traffic forecast (2017)LSTM network: a deep learning…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory (2015)Large-Scale Transportation Ne…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Drowsy driver detection using representation learning (2014)Drowsy driver detection using…Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forec…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM (2023)Short-term traffic flow predi…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…Traffic flow prediction models – A review of deep learning techniques (2021)Traffic flow prediction model…How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)How to Build a Graph-Based De…Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Deep learning models for traf…Forecasting with artificial neural networks: (1998)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Travel-Time Prediction With Support Vector Regression (2004)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Understanding Road Usage Patterns in Urban Areas (2012)A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2015)An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017)A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)Book Review: Time Series Analysis: Forecasting and Control (1977)Introduction to Time Series and Forecasting (2002)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)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)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach (2018)Ridesourcing systems: A framework and review (2019)Predicting Taxi–Passenger Demand Using Streaming Data (2013)Quantifying the benefits of vehicle pooling with shareability networks (2014)Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach (2018)Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction (2019)Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data (2021)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)A Deep Learning-based Cryptocurrency Price Prediction Scheme for Financial Institutions (2020)Comprehensive systematic review of information fusion methods in smart cities and urban environments (2024)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)
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References

  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017LSTM network: a deep learning approach for short‐term traffic forecast1,899 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 2017Deep learning for short-term traffic flow prediction1,060 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 2013Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning763 cited
  • 2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited
  • 2015Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory508 cited
  • 2017Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks311 cited
  • 2014Drowsy driver detection using representation learning202 cited

Cited by

  • 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges306 cited
  • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
  • 2020How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey298 cited
  • 2021

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Traffic flow prediction models – A review of deep learning techniques
235 cited
  • 2023Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM176 cited