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
Apr 26, 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
Workshop presentation for GIS Day at Carnegie Mellon University (2024)
processing Bluetooth data for route choice
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