An Adaptive Machine Learning Approach to Sustainable Traffic Planning: High-Fidelity Pattern Recognition in Smart Transportation Systems
Future Transportation, Vol. 5, No. 4, pp. 152
Abstract
This paper presents an adaptive machine learning approach to sustainable traffic planning using high-fidelity pattern recognition in smart transportation systems.
Citation
Oleksander Barmak, Pavlo Radiuk, Eduard Manziuk, Iurii Krak. "An Adaptive Machine Learning Approach to Sustainable Traffic Planning: High-Fidelity Pattern Recognition in Smart Transportation Systems". Future Transportation, Vol. 5, No. 4, pp. 152, 2025.