AndreaVidali / Deep-QLearning-Agent-for-Traffic-Signal-Control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
MIT License
405 stars 146 forks source link

Having problems of integrating a real-world road map of OSM into the model #14

Closed shafiuyushawu closed 4 years ago

shafiuyushawu commented 4 years ago

I am an undergraduate student currently embarking on my final year project. I have downloaded and run your code with no errors. I I had an idea of integrating the real road map of my country in Open Street Map (OSM) into the model, but has some challenges in doing it. Please can you help?

AndreaVidali commented 4 years ago

Hi @ibnsco , I personally haven't tried to import OSM maps into SUMO, so I can't be of much help. Anyway, I think that the two links below could have the necessary info in order to solve your problem.

link 1 link 2

shafiuyushawu commented 4 years ago

Thank you very much.

On Sat, May 30, 2020 at 3:09 PM AndreaVidali notifications@github.com wrote:

Hi @ibnsco https://github.com/ibnsco , I personally haven't tried to import OSM maps into SUMO, so I can't be of much help. Anyway, I think that the two links below could have the necessary info in order to solve your problem.

link 1 https://sumo.dlr.de/docs/Networks/Import/OpenStreetMap.html link 2 https://sumo.dlr.de/docs/Tutorials/Import_from_OpenStreetMap.html

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