ICP DAS Brings AI-Driven Traffic Control to APTA 2026 Expo

The centerpiece of the exhibition is the iTLC-9000 Series, a redundant traffic signal control system designed to eliminate single points of failure. Engineers will run a live simulation at the booth, managing two sets of physical signals to showcase the system’s modular architecture. The controller supports up to 16 signal phases and 32-way intersections, featuring hot-swappable modules and rapid primary-to-backup switching to maintain uptime during hardware maintenance or faults.

Beyond basic signaling, the company is integrating NVIDIA GPU technology to add an intelligence layer to traffic monitoring. This AI-powered setup analyzes live video feeds to detect emergency vehicles, identify traffic violations, and capture license plate data. By feeding this information back into the signal controller, the system dynamically adjusts timing to prioritize flow and emergency response times.

To round out the ecosystem, the display includes a suite of edge computing and monitoring hardware. Devices such as the WISE-5231 controller, MDC-714 data concentrator, and various environmental sensors will be presented as a cohesive toolkit for smart city infrastructure. These components provide the underlying data acquisition and communication network required to support autonomous traffic management at scale.