Publications by authors named "Anum Mushtaq"

Article Synopsis
  • Intelligent traffic management systems are increasingly utilizing Reinforcement Learning (RL), particularly in applications like autonomous driving and traffic management.
  • The paper introduces a Multi-Agent Reinforcement Learning (MARL) approach to optimize traffic flow for autonomous vehicles, leveraging techniques like Multi-Agent Advantage Actor-Critic (MA2C) and Independent Advantage Actor-Critic (IA2C).
  • Simulations conducted on a seven-intersection road network using SUMO software indicate that MA2C, trained on pseudo-random vehicle flows, demonstrates superior performance compared to other methods, highlighting its potential effectiveness in traffic signal optimization.
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