News&Insights

This article compares inductive loop, single camera, millimeter-wave radar, radar-vision fusion and LiDAR for traffic vehicle detection, covering working principles, detection range, pros & cons and applicable municipal traffic retrofit scenarios.

Explore human-centric traffic signal optimization based on aggregated driver frustration. Differentiate long-term facial emotion research from proven radar-vision solutions with real Guangzhou Conghua smart green-wave case data for adaptive traffic control.

Fixed timing signals and traditional detectors limit traffic efficiency. Radar-vision fusion combines radar and cameras to fix single-sensor flaws, enabling adaptive signal tuning, easing congestion and cutting traffic emissions at low construction cost.

As a core industry player, EnerTraffic attended Xiamen ITS Exhibition and conducted in-depth exchanges with global experts and suppliers on smart transportation solutions. The company will further refine products to empower global smart traffic upgrading.

The 16th China International Road Traffic Safety Products Expo 2026 was held in Nanjing, focusing on smart traffic, AI signal control, vehicle-road coordination and innovative traffic safety solutions.

In early 2026, Chinese prefecture-level cities began rolling out basic signal optimization—cycle adjustments and main-road coordination—while comprehensive smart upgrades remain in the planning phase.

Radar-video fusion provides all-weather, full-element detection for traffic signal optimization. Learn why it is more stable than cameras or radar alone.

Green wave coordination allows vehicles to pass multiple intersections without stopping. Learn how radar and AI signal controllers create stable green waves for urban corridors.