Real Time Traffic Monitoring & Reporting System (Speed, Volume, Occupancy, Class) – RADAR

Google Maps traffic view aggregates crowd-sourced location data alongside data from agency-operated infrastructure, including RADAR sensors and video detection systems like those featured here. Many DOTs deploy these devices at intersections and corridors to validate and supplement the real-time speed and congestion data shown on public mapping platforms.

Common technologies include FMCW RADAR, 3D digital lidar, AI-powered video detection, and inductive loop sensors. Each offers different strengths: RADAR and lidar work well in all weather and lighting conditions, AI-video adds visual classification, and inductive loops remain a cost-effective option for in-pavement vehicle detection at signalized intersections.

RADAR sensors like EPIQ RADAR and RTMS Echo capture vehicle counts, speeds, occupancy, classification, travel times, and dwell times. Advanced models also support pedestrian and bicycle detection, stop bar and dilemma zone monitoring, and estimated time of arrival (ETA) data for approaching vehicles.

Yes, most systems in this category are designed for compatibility with NEMA TS1, NEMA TS2, ATC, ITS, and Caltrans 33x traffic control cabinets. This allows agencies to integrate new RADAR, lidar, or video detection hardware with existing signal controllers without major infrastructure changes.

Coverage varies by model. The EPIQ RADAR covers two approaches and up to 900 feet per sensor, while the RTMS Echo side-fire RADAR can monitor up to 12 lanes and 250 feet from a single device, reducing the number of sensors needed for wide highways or complex intersections.

Yes, several systems including EPIQ RADAR, Autoscope OptiVu, and Ouster Lidar with BlueCity are built to detect pedestrians, bicycles, and other vulnerable road users alongside vehicles. This multimodal detection supports Vision Zero safety initiatives and improved signal timing for all road users.