Fast Machine Learning-Based High Fidelity Mesoscopic Modeling Tool for Traffic Simulation
Author:
Affiliation:
1. Dept. of Computer Science, Univ. of Idaho, Moscow.
2. Dept. of Civil Engineering, Univ. of Idaho, Moscow.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485514.037
Reference20 articles.
1. Abbas, Z., Al-Shishtawy, A., Girdzijauskas, S., and Vlassov, V. (2018). Short-term traffic prediction using long short-term memory neural networks. In 2018 IEEE International Congress on Big Data (Big Data Congress), pages 57–65. IEEE.
2. Intersection Traffic Prediction Using Decision Tree Models
3. Modelling smart road traffic congestion control system using machine learning techniques;Ata A.;Neural Network World,2019
4. The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory
5. Dogru, N., and Subasi, A. (2012). Traffic accident detection by using machine learning methods. In Third International Symposium on Sustainable Development (ISSD’12), page 467.
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