Flexible Traffic Detection Solutions for Modern, Connected, and AI-Enabled Transportation Systems

Western Systems offers a range of detection technologies designed to serve different traffic environments and operational goals. These include radar-based systems for high-speed corridors, video detection for complex urban intersections, magnetic loop detection for specific lane-based activation, and advanced AI-based detection that uses machine learning to improve real-time responsiveness. For pedestrian safety, we support video and radar-enhanced crosswalk detection and actuation systems that enhance visibility and timing accuracy.

Each technology has distinct strengths based on the application:

• Radar detection performs well in all weather conditions and is ideal for multi-lane arterials or high-speed approaches. It provides continuous tracking, even during fog or snow.
• Video detection offers visual coverage and classification, making it suitable for intersections with turning movements, bike lanes, or high pedestrian activity. However, performance can be affected by shadows or glare without proper calibration.
• Magnetic loop detectors are installed in the pavement and offer reliable lane-specific detection, though they require more intrusive installation and pavement cuts during repairs or upgrades.

The best choice often depends on the roadway design, environmental factors, and agency maintenance capabilities.

Yes. All detection technologies offered by Western Systems are designed with interoperability in mind. Whether an agency uses NEMA TS2 cabinets, ATC controllers, or centralized signal management software, our detection systems can be integrated seamlessly to support actuated and coordinated operations. We also offer cloud-connectivity options for agencies managing signals remotely or across multiple jurisdictions.

Absolutely. Our AI-based detection systems can support Vehicle-to-Everything (V2X) communications by transmitting real-time data to roadside units (RSUs) and traffic management platforms. This allows for enhanced situational awareness, adaptive signal timing, and improved safety applications such as red-light running alerts and speed harmonization. These capabilities position agencies to scale detection infrastructure into broader smart city initiatives without needing to overhaul existing hardware.

Installation timelines and needs vary by technology. For instance, radar and AI-based video systems are typically mounted on existing poles or mast arms, minimizing disruption during deployment. Calibration includes setting up detection zones, ensuring alignment, and verifying data output in coordination with the signal controller.

Ongoing maintenance depends on the system: radar systems are generally low-maintenance, while video systems may need occasional cleaning or recalibration, especially after seasonal changes or construction. All systems can be monitored remotely with proper integration, allowing agency teams to address performance issues proactively.

Accurate and timely detection directly impacts signal responsiveness, particularly for side streets, left turns, and pedestrian phases. Better detection leads to fewer false calls, reduced service disruptions, and improved corridor reliability—especially during peak hours or unpredictable traffic patterns. Additionally, modern detection systems provide health monitoring and diagnostics that help reduce unnecessary field visits and keep equipment operating at peak performance.