Traffic monitoring systems often utilise wireless Bluetooth technology. Sometimes, Bluetooth is available as a modular, add-on capability. This cutting-edge technology enables greater counting accuracy and more in-depth traffic analysis.
Combining hardware and software tools into comprehensive systems, traffic flow detectors do far more than count passing vehicles. These flexible systems work equally well for single-lane and multiple-lane applications.
Technology like this has quite a few commercial and governmental applications. These systems now have countless fans worldwide. The Czech Republic’s primary motorway, the D1 motorway, provides a fine example of modern traffic detection.
Loop-based traffic counters are among the most useful systems in traffic flow detection. Although some of these systems may require constant electrical input to operate, other systems may operate off of portable battery power.
Some of the technology involved in these systems is remarkably sophisticated. These devices can classify vehicles based on their unique magnetic signatures.
To ensure absolute accuracy, these detectors compensate for external magnetic effects that can produce random data spikes. Traffic detectors can also communicate with many other devices using a variety of communication modes: 3G, Wi-Fi and radio signals, to name a few.
Traffic flow monitoring systems use piezoelectric sensors to register and classify vehicles in both directions for up to 12 lanes. To get the most out of traffic flow detection, people typically prefer setups with user-friendly online interfacing.
In addition to counting vehicles, detectors monitor which direction vehicles are moving in. These technologies also register and collate gaps between cars. Crucially, the best traffic monitors enable users to filter data using user-defined time intervals or classifications.
How Monitoring Systems Help Society
These systems are sensitive enough for remarkably detailed sorting. For example, a user could track how many motorbikes passed a stretch of road in any specified day and which directions they were headed in. One of the more useful applications of this system is in aiding accurate travel time estimations.
Traffic flow monitoring systems record car lengths, approximate weights and even average vehicle speeds. By monitoring traffic flow patterns properly, it is possible to make more accurate predictions about future infrastructure needs and repair time tables.
Researchers can use traffic flow data to learn more about traffic patterns and trends. In turn, this knowledge creates new ways to reduce traffic-related accidents and fatalities.
The Future Of Traffic Monitoring
As the years pass, it is likely that traffic flow monitoring will achieve new heights of sophistication. Manufacturers who act with decisiveness can seize tremendous market share through technical innovation. The exploitation of Bluetooth is an important trend in traffic flow monitoring today.
Each Bluetooth-equipped car is associated with a random, unique MAC address. These addresses are completely anonymous, which allows for fully ethical information gathering. Users can manipulate and analyse traffic data in ways that are only limited by the human imagination. In time, it is likely that a very large proportion of cars on the road will feature Bluetooth connectivity.
Early adopters of modern traffic detectors often report gaining the ability to create more accurate statistics. In turn, decision makers can use these statistics to make fair traffic policies that balance the needs of various stakeholders.
Traffic monitoring is a field that deserves greater recognition from the general public. In time, it is likely that information gathered in this way will benefit millions of U.K citizens.
Worldwide, the Big Data trend means that there is growing demand for accurate traffic information. Although the public naturally has privacy concerns, it is indisputable fact that traffic monitoring has enormous potential to benefit ordinary people. Over time, modern society will experience safer traffic patterns due to improved analytics and planning.