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<oembed><version>1.0</version><provider_name>ITU</provider_name><provider_url>https://www.itu.int/hub/ru/</provider_url><author_name>Ralf Vanalst</author_name><author_url>https://www.itu.int/hub/ru/author/ralf-vanalstitu-int/</author_url><title>Beijing&#x2019;s autonomous intelligent signal light, China (People&#x2019;s Republic of) - ITU</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="YHqfGMhFmQ"&gt;&lt;a href="https://www.itu.int/hub/ru/publication/t-joint-u4ssc-2026-9/"&gt;Beijing&#x2019;s autonomous intelligent signal light, China (People&#x2019;s Republic of)&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.itu.int/hub/ru/publication/t-joint-u4ssc-2026-9/embed/#?secret=YHqfGMhFmQ" width="600" height="338" title="&#xAB;Beijing&#x2019;s autonomous intelligent signal light, China (People&#x2019;s Republic of)&#xBB; &#x2014; ITU" data-secret="YHqfGMhFmQ" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><thumbnail_url>https://www.itu.int/hub/wp-content/uploads/sites/4/2026/08/t-joint-u4ssc-2026-9-img-jpg-m.jpg</thumbnail_url><thumbnail_width>1024</thumbnail_width><thumbnail_height>685</thumbnail_height><description>Beijing's Tongzhou District demonstrates how AI can turn isolated, fixed-time traffic signals into a coordinated and adaptive control network. This U4SSC case study situates the project within Beijing's 2024 "AI+ Strategy" and explains how real-time camera and detector data are used to optimise signal timing across intersections, road corridors and wider areas. The system switches among single-point adaptive control during off-peak periods, segmented "green-wave" coordination during transition periods, and regional coordination with peripheral traffic diversion during peak hours, while also applying targeted measures on congestion-prone roads. Post-deployment analysis reported a 15.6 per cent increase in average vehicle speed and a 32.5 per cent reduction in average travel time on major urban roads, alongside fewer conflicts and less congestion. The project is also developing into a broader Tongzhou "city brain". Remaining limitations concern the completeness and accuracy of data and the system's response to exceptional conditions. The case offers a practical model of dynamic, network-level traffic management while reinforcing the continuing need for data quality and human oversight. More information available at: https://u4ssc.itu.int/</description></oembed>
