A hybrid deep and machine learning model for short‐term traffic volume forecasting of adjacent intersections
Author:
Affiliation:
1. Civil‐Transportation Planning, Faculty of Technical and Engineering Imam Khomeini International University Qazvin Iran
2. Electronics Research Institute (ERI) Sharif University of Technology Tehran Iran
Publisher
Institution of Engineering and Technology (IET)
Subject
Law,Mechanical Engineering,General Environmental Science,Transportation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12224
Reference59 articles.
1. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
2. Differences in rural and urban driver-injury severities in accidents involving large-trucks: An exploratory analysis
3. Yu R. Li Y. Shahabi C. Demiryurek U. Liu Y.:Deep learning: A generic approach for extreme condition traffic forecasting. In:Proceedings of the 17th SIAM International Conference on Data Mining SDM 2017 Houston Texas USA. pp.777–785(2017).https://doi.org/10.1137/1.9781611974973.87
4. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
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