Adaptive Traffic Signal Control (ATSC) helps keep traffic flowing smoothly by adjusting traffic signal timing in real time based on current conditions. Using sensors, data analytics, and communication systems, ATSC respond to changes in traffic patterns, such as rush hour congestion or unexpected delays, to reduce stops, improve travel times, and decrease fuel use and emissions. With advancements in artificial intelligence (AI) and machine learning (ML), adaptive systems are becoming even smarter and more efficient. These innovations support advanced traffic management strategies that enhance safety, mobility, and reliability on busy roadways. Explore executive briefings and discover related insights through data visualizations to see how ATSC is improving traffic management nationwide.
ATSC is a core component of Active Traffic Management (ATM). It enables dynamic signal timing parameters (cycle lengths, splits, offsets) in response to current traffic conditions, rather than…
AI and ML techniques are being applied to traffic signal operations through ATSC. Agencies implementing these innovations reported measurable benefits, such as an overall travel-time reduction of…
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