traffic management AI
TRAF-ik MAN-ij-ment AY-eye
ˈtræfɪk ˈmænɪdʒmənt eɪˈaɪListen
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Dictionary meaning
the application of artificial intelligence and machine learning to the real-time monitoring, analysis, and control of road traffic systems, including adaptive traffic signal control, incident detection and response, dynamic speed limit adjustment, congestion prediction, and the coordination of connected and autonomous vehicles; AI-driven traffic management systems process data from cameras, loop detectors, GPS traces, and connected vehicle telemetry to optimise signal timings and routing recommendations across an entire network rather than at individual intersections; cities deploying adaptive signal control have reported reductions in average journey times and emissions; the technology raises concerns about surveillance, data privacy, and algorithmic bias in systems that may prioritise certain neighbourhoods or vehicle types over others
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