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Inverting the Fundamental Diagram and Forecasting Boundary Conditions:
  How Machine Learning Can Improve Macroscopic Models for Traffic Flow

Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow

21 March 2023
Maya Briani
E. Cristiani
Elia Onofri
ArXivPDFHTML

Papers citing "Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow"

2 / 2 papers shown
Title
Detection of Anomalous Vehicular Traffic and Sensor Failures Using Data Clustering Techniques
Detection of Anomalous Vehicular Traffic and Sensor Failures Using Data Clustering Techniques
Davide Moretti
Elia Onofri
E. Cristiani
39
0
0
01 Apr 2025
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian
  Process: A New Insight into Machine Learning Applications
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Yun Yuan
X. Yang
Zhao Zhang
Shandian Zhe
AI4CE
8
77
0
06 Feb 2020
1