Traffic Flow Prediction With Big Data: A Deep Learning Approach
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- Type
- article
- Published
- 2015-04-01
- Cited by
- 2,962
- References
- 62
- OpenAlex
- https://openalex.org/W2036785686
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7079419
Keywords
Autoencoder, Deep learning, Traffic flow (computer networking), Intelligent transportation system, Computer science
References
- Short Term Traffic Prediction Models
- NONPARAMETRIC TRAFFIC FLOW PREDICTION USING KERNEL ESTIMATOR
- ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES
- SHORT TERM TRAFFIC FLOW PREDICTION
- ON FORECASTING FREEWAY OCCUPANCIES AND VOLUMES (ABRIDGMENT)
- Deep learning for class-generic object detection
- Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results
- Modeling and Forecasting the Urban Volume Using Stochastic Differential Equations
- SHOULD WE USE NEURAL NETWORKS OR STATISTICAL MODELS FOR SHORT TERM MOTORWAY TRAFFIC FORECASTING
- Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction
- Urban traffic flow prediction using a fuzzy-neural approach
- Short-term traffic prediction on different types of roads with genetically designed regression and time delay neural network models
- Online Recursive Algorithm for Short-Term Traffic Prediction
- Short Term Traffic Flow Prediction for a Non Urban Highway Using Artificial Neural Network
- Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network
- A computational intelligence‐based approach for short‐term traffic flow prediction
- Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models
- Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches
- An object-oriented neural network approach to short-term traffic forecasting
- Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
Cited by
- Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
- Automatic incident detection on freeways based on Bluetooth traffic monitoring.
- A Neuro-fuzzy Based Approach to Cooperative Ramp Metering
- Predicting Spatiotemporal Traffic Flow Based on Support Vector Regression and Bayesian Classifier
- Efficient Machine Learning for Big Data: A Review
- Efficient Two-Step Approach for Automatic Number Plate Detection
- A distributed spatial-temporal weighted model on MapReduce for short-term traffic flow forecasting
- Security incident detection technique for multilevel intelligent control systems on railway transport in Russia
- A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy
- A Survey on Domain-Specific Languages for Machine Learning in Big Data
- Big Sensor Data Applications in Urban Environments
- Audio Surveillance of Roads: A System for Detecting Anomalous Sounds
- Deep learninig of EEG signals for emotion recognition
- Highway traffic flow prediction using support vector regression and Bayesian classifier
- First specifications of urban traffic-congestion forecasting models
- Continuous Travel Time Prediction for Transit Signal Priority Based on a Deep Network
- Real-time congestion prediction for urban arterials using adaptive data-driven methods
- Low Complexity Auto-Adaptive Algorithm for Finite State Prediction Given Historical Observations
- Real-time Traffic Flow Prediction using Augmented Reality
- Using convolutional features and a sparse autoencoder for land-use scene classification
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