Predicting Spatiotemporal Traffic Flow Based on Support Vector Regression and Bayesian Classifier
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- Type
- article
- Published
- 2015-08-26
- Cited by
- 19
- References
- 12
- OpenAlex
- https://openalex.org/W1958929917
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:443829
Keywords
Support vector machine, Computer science, Data mining, Traffic flow (computer networking), Markov random field
References
- Big Data-Driven Based Real-Time Traffic Flow State Identification and Prediction
- Real-Time Corrected Traffic Correlation Model for Traffic Flow Forecasting
- Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results
- Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection
- Real-time road traffic prediction with spatio-temporal correlations
- Real-time road traffic forecasting using regime-switching space-time models and adaptive LASSO
- Origin–destination missing data estimation for freight transportation planning: a gravity model-based regression approach
- Traffic Flow Prediction With Big Data: A Deep Learning Approach
- Multistep-Ahead Air Passengers Traffic Prediction with Hybrid ARIMA-SVMs Models
- Development of the regional freight transportation demand prediction models based on the regression analysis methods
- ‘Real-time road traffic forecasting using regime-switching space-time models and adaptive lasso’ by Y. Kamarianakis, W. Shen, and L. Wynter
Cited by
- Spatiotemporal traffic forecasting: review and proposed directions
- Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method
- Model predictive control for UGV trajectory tracking based on dynamic model
- Topology-regularized universal vector autoregression for traffic forecasting in large urban areas
- Efficient OD Trip Matrix Prediction Based on Tensor Decomposition
- Improved UGRNN for short-term traffic flow prediction with multi-feature sequence inputs
- Unobserved Component Model for Predicting Monthly Traffic Volume
- Machine Learning Approaches for Traffic Flow Forecasting
- Short-Term Speed Prediction for Expressway Considering Adaptive Selection of Spatiotemporal Dimensions and Similar Traffic Features
- DeepCorNet: A efficient taxi-hailing prediction model
- Predicting Traffic Flow Propagation Based on Congestion at Neighbouring Roads Using Hidden Markov Model
- Time-adaptive graph convolutional network for traffic prediction
- Path planning of an AGV based on artificial potential field and model predictive control
- PMGCN: Progressive Multi-Graph Convolutional Network for Traffic Forecasting
- Spatio-temporal dynamic change mechanism analysis of traffic conflict risk based on trajectory data.
- An Intelligent Deep Learning Framework for Traffic Flow Imputation and Short-term Prediction Based on Dynamic Features
- Spatiotemporal Data Analysis: A Review of Techniques, Applications, and Emerging Challenges
- Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition
- Research on Short-Term Flow Forecast of Intelligent Traffic
- A Frequency-Aware Spatio-Temporal Network for Traffic Flow Prediction
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