HIGHWAY TRAFFIC SENSOR
DTAM D39-V/350m
Radar-Video Fusion, Wide-Area Coverage, Multi-Target Tracking, All-Weather Detection
1. ntegrated radar-video fusion for 8 lanes up to 350m 2. rovides traditional microwave data: speed, volume, headway, classification, queue, occupancy 3. high accuracy: flow ≥95%, queue & event ≥90% 4. etects pedestrians, non-motor vehicles, and all vehicle types 5. ll-weather operation unaffected by rain, snow, fog, or light; supports NTP time sync
RTE V49-V/500m
4D Imaging Radar-Video Fusion, High-Precision Wide-Area Coverage, Multi-Event Detection, Digital Twin
1. Optimized beams and pulse compression improve SNR, accuracy, and interference rejection for stable tracking. 2. Covers up to 12 lanes and 500m, with decimeter‑level distance and speed accuracy. 3. Supports 20Hz output rate, NTP, and manual time sync. 4. Detection rate >98%, tracking rate >95% in high‑speed conditions. 5. All‑weather operation; detects congestion, lane change, stop, reverse, speed violations, and emergency lane occupancy.
LG900-LD-PRO
Multi-radar stitching,Multi-sensor linkage
1. Full traffic trajectory tracking 2. Radar + surveillance video structuring 3. Traffic digital twin visualization 4. Radar + dome camera event capture
RTP Highway and Expressway Traffic Data Platform
Radar-Video Fusion，Digital Twin，Closed-loop Incident Handling，Elastic & Scalable Architecture
1. The platform delivers accurate traffic situation awareness by fusing radar and video data with digital twin technology, enabling dynamic mapping from lane‑level details to network‑wide conditions. 2. It enables full‑process automated incident handling through a device‑edge‑cloud architecture, with second‑level alerts, automatic evidence capture, and linked warning dissemination for closed‑loop management. 3. It supports multi‑dimensional data‑driven decision making by building comprehensive traffic flow and incident archives, offering custom‑period statistics, trend analysis, black‑spot identification, and report export. 4. It offers elastic deployment flexibility with a microservices‑based architecture that supports centralized, distributed, and clustered modes to fit various network scales and performance needs. 5. It ensures intelligent operations and maintenance through real‑time device status monitoring, fault alerts, and data quality management, shifting maintenance from reactive repair to proactive prevention.