Temporary Monitoring Detection
TagMaster’s extremely accurate traffic solutions collects real-time information about traffic volume, length, type, speed, and direction. It enables you to predict problems more accurately, manipulate behaviour and control congestion.
The Tag Master TrafficRadar can be used in numerous applications:
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On demand traffic surveys with the rapidly deployable TrafficRadar to cover two lanes of road traffic by simply mounting the device on existing street furniture.
Individual vehicle speeds are recorded along with time stamps and lane designation to allow for gap analysis (time in seconds between vehicles) to be reported against speed limit violations to quickly identify dangerous driving behaviour on the road network.
Mounting a radar to traffic signals also allows for ‘speed on green’ data to be captured, once again highlighting road user behaviour in a covert manner. Speed on green cameras aim to capture motorists who exceed the speed limit to pass through a green light before it changes.
The TrafficRadar will flag reverse direction vehicles to highlight vehicle disciplines on one-way streets. Reports can easily be generated to report on the number of violations and the time of day that they are taking place.
If there are concerns HGVs are using roads with weight restrictions, the Radar can be rapidly deployed to capture vehicle length data to easily report how many large vehicles are using the route.
The configurable length filters available with the VDA applications means that all vehicles under a certain length can be removed from the data set to easily present all the violations for the duration of the survey.
Permanently installed Radars can provide real-time data feeds for use cases beyond simply capturing traffic data. Streaming this data to street lighting providers allows for decisions to be made on whether to lower lighting levels on certain roads based on live traffic flow information for energy saving purposes.
Alternatively, if a route becomes much busier due to an unforeseen route diversion, streetlights can be brightened to illuminate the roads better for a safer road network.
Live traffic data streamed from the TrafficRadar to the VDA-Net platform allows for live speed and flow data to be monitored and alerts raised on the Smart Map when abnormal flow conditions are detected on the network.
Using this data to feed third party live traffic modelling applications, then allows for green light optimisation to take place to alleviate congestion and reduce emissions.
Long term collection or sampling of data enables transport planners to see yearly growth on the road network, AADT (annual average daily total) and AAWT (annual average weekday total) are calculated and tracked by VDA to instantly report 5 and 7-days annual growth % for each site.
Is the road now approaching a point of maximum capacity? When vehicle flows reach a certain point, does the average speed start to dwindle? Has the annual growth attributed to this? By combining flow and average speed reports historically, it is simple to understand if the site is still coping with demand.
Rather than requiring in-ground sensors, the TrafficRadar require no additional sensors to be able to detect road traffic. The Radar will record volume, speed & length data, which will give an indication of vehicle classification, however if detailed chassis-based classification is required inductive loop technology is the only alternative option.
Using a culmination of all the above data reports, to allow transport planners and road modellers to carry out their jobs.
Transport planning is defined as planning required in the operation, provision and management of facilities and services for the modes of transport to achieve safer, faster, comfortable, convenient, economical and environment-friendly movement of people and goods.