GitHub - harry1321/Freeway-Mainline-Metering-Policy-by-Deep-Reinforcement-Learning-Combined-with-Ramp-Metering: This research focused on developing a mainline metering policy for freeways. The mainline metering policy was controlled by a DRL agent, alongside an ALINEA algorithm to control the ramp metering policy. To model and evaluate the effectiveness of these policies, we utilized Vissim, a traffic simulation software.

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This research focused on developing a mainline metering policy for freeways. The mainline metering policy was controlled by a DRL agent, alongside an ALINEA algorithm to control the ramp metering policy. To model and evaluate the effectiveness of these policies, we utilized Vissim, a traffic simulation software.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Data Process		Data Process
Model		Model
VISSIM Parameter Calibration		VISSIM Parameter Calibration
VISSIM		VISSIM
.gitattributes		.gitattributes