A Spatial-Temporal Hybrid Model for Short-Term Traffic Prediction

@article{Lin2019ASH,
  title={A Spatial-Temporal Hybrid Model for Short-Term Traffic Prediction},
  author={Fei Lin and Yudi Xu and Y. Yang and H. Ma},
  journal={Mathematical Problems in Engineering},
  year={2019},
  volume={2019},
  pages={1-12}
}
  • Fei Lin, Yudi Xu, +1 author H. Ma
  • Published 2019
  • Computer Science
  • Mathematical Problems in Engineering
    • Accurate and timely short-term traffic prediction is important for Intelligent Transportation System (ITS) to solve the traffic problem. This paper presents a hybrid model called SpAE-LSTM. This model considers the temporal and spatial features of traffic flow and it consists of sparse autoencoder and long short-term memory (LSTM) network based on memory units. Sparse autoencoder extracts the spatial features within the spatial-temporal matrix via full connected layers. It cooperates with the… CONTINUE READING
    View via Publisher
    doi.org
    8 Citations
    Highly Influencial Citations
    1
    Background Citations
    2
    Methods Citations
    4
    8 Citations
    Citation Type

    Citation Type

    Short-Term Traffic Speed Prediction Method for Urban Road Sections Based on Wavelet Transform and Gated Recurrent Unit
    • 1
    • PDF
    Dilated-Dense Network for traffic congestion prediction Model
    • PDF
    A Novel Hybrid Spatial-Temporal Attention-LSTM Model for Heat Load Prediction
    • PDF
    Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set
    • 1
    • PDF
    A Comprehensive Evaluation of Deep Learning-Based Techniques for Traffic Prediction
    • 2
    • PDF
    Passenger Flow Prediction of Urban Rail Transit Based on Deep Learning Methods
    • 3
    • PDF
    Tensor Decomposition for Spatial—Temporal Traffic Flow Prediction with Sparse Data
    • PDF
    Distributed Vehicular Computing at the Dawn of 5G: a Survey
    • 1
    • Highly Influenced
    • PDF

    References

    SHOWING 1-10 OF 25 REFERENCES
    LSTM network: a deep learning approach for short-term traffic forecast
    • 491
    • PDF
    Traffic Flow Prediction With Big Data: A Deep Learning Approach
    • 1,459
    • PDF
    Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach
    • 125
    Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
    • 716
    Research on Short-Term Traffic Flow Prediction Method Based on Similarity Search of Time Series
    • 17
    • PDF
    Accurate Multisteps Traffic Flow Prediction Based on SVM
    • 17
    • PDF
    Short-Term Traffic and Travel Time Prediction Models
    • 109
    Mining Road Network Correlation for Traffic Estimation via Compressive Sensing
    • 32
    • PDF
    Online Learning Solutions for Freeway Travel Time Prediction
    • J. V. Lint
    • Engineering, Computer Science
    • IEEE Transactions on Intelligent Transportation Systems
    • 2008
    • 182
    • PDF
    Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks
    • 209