RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.
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Updated
Oct 23, 2025 - Jupyter Notebook
RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.
A Dynamic Custom Travel Survey
processing Bluetooth data for route choice
Some route choice models implemented in PyTorch.
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