KEY FEATURES
Product presentation
The TrafficRadar is designed and optimized for Smart City applications:
- Temporary or periodic counting
- Permanent counting
- Traffic information systems
State of the art, non-intrusive, VBV classification
The TrafficRadar (previously Black Cat) unit allows for the collection of traffic data without the need for in-road sensors. The product can monitor two lanes of traffic travelling in the same or opposite direction, monitoring each lane separately. The advanced embedded algorithms ensure that the vehicle length measurement is highly accurate, allowing for Vehicle By Vehicle (VBV) classification.
Multiple powers sources
The device can either be battery powered for short term surveys. It can also be mains- or solar powered for permanent installations.
Data collection
Units comes with a 3G/4G modem and users can specify the way data is collected. It can record either VBV or binned data and can log the data both historically and in real-time. In historical mode the TrafficRadar waits for the user to collect the data, in real-time mode it sends the data automatically to the server at user configurable time periods.
Data sheet
Performance Statistics
Benchmark: Radar vs Loops
With the advancements of the TagMaster TrafficRadar, which utilises the latest radar technology, it is now possible to detect and record two individual lanes of traffic travelling in the same direction, for example half a dual carriageway with an individual channel per lane. In light of this we feel it’s important to measure the performance against a conventional inductive loop site. There are almost always obscuration issues when dealing with Radar Outstations due to high sided near side traffic, however thanks to state-of-the-art platoon splitting algorithms the majority of far side traffic can now be correctly resolved. Due to the advances in technology and hardware developments for dual carriageway operation, the TrafficRadar has also inherited advanced single carriageway performance.
TrafficRadar Statistic document for download
