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Adaptive Traffic Control via Swarm Intelligence by roshneepalai7 is a document available to read on EtoBox.

This paper presents a bio-inspired adaptive traffic signal control model based on swarm intelligence to enhance traffic efficiency in complex networks. By treating each traffic intersection as a particle within a particle swarm, the model optimizes traffic flow in real-time, demonstrating improved queuing lengths and traffic allocation through simulations. The approach leverages Internet of Vehicles (IoV) technologies to facilitate better communication and coordination among vehicles and traffic signals.

Author
roshneepalai7
Language
EN