<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Adaptive Control on Mohammad Movahedi</title><link>https://m-movahedi.com/tags/adaptive-control/</link><description>Recent content in Adaptive Control on Mohammad Movahedi</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 16 Dec 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://m-movahedi.com/tags/adaptive-control/index.xml" rel="self" type="application/rss+xml"/><item><title>The Crossroads of LLMs and Traffic Control</title><link>https://m-movahedi.com/research/llm-adaptive-traffic-control/</link><pubDate>Mon, 16 Dec 2024 00:00:00 +0000</pubDate><guid>https://m-movahedi.com/research/llm-adaptive-traffic-control/</guid><description>&lt;div style="background-color: #e8f4f8; border-left: 6px solid #3498db; padding: 15px 20px; border-radius: 4px; margin-bottom: 30px; box-shadow: 0 2px 4px rgba(0,0,0,0.05);"&gt;
 &lt;h4 style="margin-top: 0; color: #2c3e50; display: flex; align-items: center;"&gt;&lt;span style="font-size: 1.5em; margin-right: 10px;"&gt;🚦&lt;/span&gt; The Urban Gridlock Challenge&lt;/h4&gt;
 &lt;p style="margin-bottom: 0; color: #34495e;"&gt;Urban traffic congestion has severe economic and environmental impacts. Traditional Adaptive Traffic Control Systems (ATCS)—which rely on fixed-time, gap-based, or delay-based logic—often struggle to adapt to dynamic, complex, and unpredictable real-world traffic flows. Designing a truly responsive traffic controller requires a system capable of human-like &lt;strong&gt;reasoning and planning&lt;/strong&gt;.&lt;/p&gt;</description></item></channel></rss>