Advanced Path Tracking and Traffic Management Using IR Sensors and Timed Automata

Path tracking for Automated Guided Vehicles (AGVs) is a critical challenge, particularly in environments with multiple AGVs sharing the same pathways. This challenge becomes increasingly significant in traffic management systems, where efficient coordination and movement are essential to prevent congestion and ensure safety. As the world progresses towards various levels of automation, exemplified by automated delivery robots, the importance of robust AGV path-tracking solutions has escalated. This paper explores existing innovative strategies through review and then attempts to simulate how to mitigate the problem by integrating timed automata and sensors to minimize waiting times, reduce congestion, and im- prove urban traffic system efficiency. Simulation results in Coppeliasim VREP demonstrate that AGVs maintained normal to moderate speeds (5 to 7 units) in high-congestion scenarios, reduces maximum congestion 20% ensuring continuous flow and preventing total blockage.