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DRL for Traffic Signal Control Case Study by K arun kumar Arun is a document available to read on EtoBox.

What is DRL for Traffic Signal Control Case Study about?

This case study explores the application of Deep Reinforcement Learning (DRL) for traffic signal control, highlighting its advantages over traditional systems in managing urban traffic congestion. The report details the methodology, implementation using the SUMO simulator, and results demonstrating DRL

Author

K arun kumar Arun

Language

EN