AI Tackles Traffic, Warm City Flows Smoothly｜Baidu AI Cloud x Ordos Yijinhuoluo Banner: SaaS Signal Control Turns "Bottlenecks" into "Express Lanes"

Baidu AI Cloud‘s SaaS signal control platform has optimized traffic signals in Ordos‘ Yijinhuoluo Banner, reducing delays by over 18% and creating smooth "green wave" corridors. The AI-powered system has effectively transformed key bottlenecks into efficient passageways, significantly improving urban mobility.

The traffic police of Ordos Yijinhuoluo Banner have partnered with Baidu AI Cloud to introduce a SaaS signal control platform, using AI to drive refined urban traffic management and create a new model of smart transportation in Northern China.

Driven by the dual engines of "eco-cultural tourism + green industry," Ordos continues to expand its urban framework. Inter-district commuting, tourist peaks, and logistics needs have intertwined, making traditional traffic signal control inadequate for the increasingly complex travel demands.

Wulanmulun Bridge: From "Chokepoint" to "Green Wave"

The Wulanmulun Bridge is a critical artery connecting Yijinhuoluo's old urban area with the Kangbashi new district—a daily route for cross-district commuters and students. During peak hours, traffic is heavy. Before Baidu's SaaS signal control, vehicles typically needed to stop for 2-3 red lights to cross the bridge, slowing commutes and causing congestion that spread to surrounding roads.

Baidu's platform accurately identified tidal traffic patterns and customized a coordinated cross-district signal plan:

Morning peak: A "flow interception + balancing" strategy for north-south direction prevents sudden congestion on the bridge.

Evening peak: A green wave coordination scheme for south-north direction speeds up the return flow.

Off-peak: A cross-district "green wave" enables near non-stop travel.

Now, crossing the bridge is smoother, freeing drivers from the stop-and-go hassle.

Downtown "Network Green Wave": Weaving an Uninterrupted Flow

The downtown area of Yijinhuoluo Banner is dense with residential complexes, commercial centers, and public services like the People’s Hospital. Previously, uncoordinated signal timing caused persistent delays.

Baidu’s platform analyzed internet-based traffic data to build a networked green wave along major arteries like Altengxile Road, Wenming Road, and Anda Road—connecting key corridors like a string of pearls. Results:

Whether heading to shops, hospital, or school, citizens enjoy efficient routes.

Traffic circulates faster, with significantly fewer stops, boosting travel satisfaction.

Data Speaks: Comprehensive Efficiency Gains

Powered by Baidu’s SaaS signal control, Yijinhuoluo’s downtown has seen an over 18% reduction in average vehicle delay, speeding up daily commutes, school trips, and emergency hospital access.

Altengxile Road: Delay ↓30%, avg. speed ↑17%

Before optimization: 3 min 30 sec, 2 stops (off-peak, north-south)

After optimization: 1 min 55 sec, 1 stop

Anda Road: Delay ↓10%, avg. speed ↑13%

North-south: Stops reduced from 6 to 1, travel time from 14 min 33 sec to 9 min 40 sec

South-north: Stops down from 6 to 2, travel time from 14 min 37 sec to 12 min 1 sec

Wenming Street: Delay ↓17%, avg. speed ↑13%

Tonggelang Road: Delay ↓18%, avg. speed ↑15%

Voices from the Ground: AI Makes Governance Smarter

Local residents say: "Before, crossing Wulanmulun Bridge after work meant red light after red light. Now it’s mostly green lights all the way—even my mood has improved!"

Yijinhuoluo traffic police remark: "Baidu’s platform has shifted us from 'experience-based signal adjustments' to 'data-driven congestion management,' achieving precise, dynamic, and efficient signal control."

Source: https://www.7its.com/?m=home&c=View&a=index&aid=29355

Translated By：7ITSNEWS