A new study published in Multimedia Tools and Applications presents an adaptive, artificial-intelligence-driven traffic control system designed to let signal junctions, autonomous vehicles and emergency services communicate in real time.
The evaluation protocol covered four distinct conditions: normal traffic flow, coordination with autonomous vehicles, emergency clearance, and false detection.
Reviews of connected and autonomous vehicle impacts on urban transportation have repeatedly highlighted that the benefits of AV technology depend heavily on the surrounding infrastructure being able to communicate and adapt.
Traffic congestion imposes enormous economic and environmental costs, and road traffic crashes remain a leading cause of death worldwide, with pedestrians bearing a disproportionate share of the harm in many regions.
Subject of Research: AI-driven adaptive traffic signal control and emergency vehicle priority for autonomous vehicle navigation Article Title: Adaptive AI-driven traffic control system and management for autonomous vehicle navigation Article References: Adaptive AI-driven traffic control system and management for autonomous vehicle navigation.