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Found 5 papers, 2 papers with code
Analyzing Emissions and Energy Efficiency at Unsignalized Real-world Intersections Under Mixed Traffic Control
With at least 30% RVs, CO and HC emissions are reduced by up to 42% and 43%, respectively.
Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning
However, defining objectives of RL agents in traffic control and management tasks, as well as aligning policies with these goals through an effective formulation of Markov Decision Process (MDP), can be challenging and often require domain experts in both RL and ITS.
Efficient Quality-Diversity Optimization through Diverse Quality Species
This can be rectified by Quality-Diversity (QD) algorithms, where a population of high-quality and diverse solutions to a problem is preferred.
Mixed Traffic Control and Coordination from Pixels
In certain scenarios, our approach even outperforms using precision observations, e. g., up to 8% increase in average vehicle velocity in the merge environment, despite only using local traffic information as opposed to global traffic information.
AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning
As a result of increasingly adopted machine learning algorithms and ubiquitous sensors, many 'perception-to-control' systems are developed and deployed.
