Skip to content

This project aims to develop a traffic light simulation using the Simulation of Urban MObility (SUMO) platform and to explore the application of reinforcement learning algorithms to enhance and optimize traffic flow within the simulation.

Notifications You must be signed in to change notification settings

DREI-8/Traffic-lights-RL

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Traffic-lights-RL

Notes: When creating or editing the network, ensure that the duration of each traffic light phase is set to a value greater than the total simulation time (which is specified when initializing the environment using the env class, with a default of 1000). This ensures that the traffic lights only switch when explicitly triggered by the step function, preventing unintended phase changes during the simulation.

About

This project aims to develop a traffic light simulation using the Simulation of Urban MObility (SUMO) platform and to explore the application of reinforcement learning algorithms to enhance and optimize traffic flow within the simulation.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published