Search Results for author: Jorge A. Laval

Found 2 papers, 0 papers with code

Platoon Fundamental Diagram estimation can be Markovian: evidence from human- and self-driven vehicle trajectories

no code implementations30 Jan 2024 Michail A. Makridis, Anastasios Kouvelas, Jorge A. Laval

We propose a simple and effective method to derive the Fundamental Diagram (FD) from platoon vehicle trajectories.

Large-scale traffic signal control using machine learning: some traffic flow considerations

no code implementations7 Aug 2019 Jorge A. Laval, Hao Zhou

We find that: (i) a policy trained with supervised learning with only two examples outperforms LQF, (ii) random search is able to generate near-optimal policies, (iii) the prevailing average network occupancy during training is the major determinant of the effectiveness of DRL policies.

BIG-bench Machine Learning

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