At this month’s ITS America in Detroit, Taiwanese firm Leotek showed how physical AI can help transportation agencies improve roadway safety, traffic operations and mobility through intelligent transportation infrastructure.

The company demonstrated its Interlux AI smart traffic signal platform, which combines multimodal sensing, edge computing and real-time analytics to support intersection management.

Roadway safety and congestion remain among the most pressing problems facing transportation agencies across North America. As cities seek to improve operational performance and enhance mobility, intelligent infrastructure is increasingly being deployed to provide greater visibility, situational awareness and responsiveness across transportation networks.

As physical AI continues to expand beyond data centres and cloud environments, transportation infrastructure is evolving into a connected, intelligent system capable of perceiving and responding to real-world conditions. Intersections are becoming critical sensing and decision-making points within the broader transportation ecosystem, supporting safer and more efficient roadway operations.

At the centre of Leotek’s ITS America showcase was the Interlux AI smart traffic signal technology. The platform integrates radar sensing, computer vision, edge computing and multimodal perception technologies to deliver real-time situational awareness at the intersection. By combining multiple sources of roadway data, Interlux helps transportation agencies better understand traffic conditions and respond more effectively to changing roadway environments.

The platform supports a wide range of intelligent transportation applications, including vulnerable road user protection, emergency vehicle pre-emption, adaptive traffic control, traffic incident detection and intersection safety management. These capabilities help agencies improve roadway safety while optimising traffic flow and operational efficiency.

Unlike traditional traffic management architectures that rely primarily on centralised processing, Interlux brings intelligence directly to the edge. Sensing, analytics and decision-support capabilities are deployed at the intersection, enabling faster response times and more resilient operations. The platform is designed to integrate with existing traffic control infrastructure, helping agencies modernise operations without extensive system replacement.

Interlux (leotek.com/leolab/interlux-ai-traffic-signal/) also supports V2X communications, positioning intersections as intelligent infrastructure nodes within future connected transportation ecosystems. Through real-time sensing and analytics, intersections can evolve from conventional signalised control points into AI-enabled sensing nodes capable of supporting emerging mobility applications.

During ITS, Leotek engaged with transportation agencies, smart city leaders, system integrators and industry partners from across North America to discuss the future of AI, digital infrastructure, V2X communications and intelligent transportation systems.

Headquartered in Taipei, with a US base in Silicon Valley, Leotek (leotek.com) specialises in AI-powered smart transportation and intelligent infrastructure. Since 1992, the company has served more than 300 cities across over 30 countries throughout the Americas, Europe, Middle East and Oceania. By integrating physical AI, edge computing, IoT sensing and intelligent analytics, it enables safer roadways, more efficient mobility and smarter infrastructure management.