When traffic is measured, the principal need is still the counting and classification of vehicles. In addition the data gathered in the context of the measurements, the processes and tools for managing the actual data are also worth the investment.
Nodeon provides reliable traffic measurement and classification solutions which have been integrated into the cloud-based Nodeon Smart City platform.
The market offers a number of different technologies for the measurement of traffic volumes and the classification of vehicles, all of which have their own pros and cons. What needs to be decided in addition to the actual measurement of vehicular traffic is where and how to transfer the measurement data, where to store it, and the nature of the analyses that will be carried out on the basis of it – in other words, how to present the data.
Nodeon’s traffic volume measurement solution is a productised service which allows the integration of several different measurement techniques. The data is transmitted from the field to the Nodeon Smart City cloud, which provides the customer with a centralised user interface for the management and analysis of the measurement data.
Nodeon provides traditional solutions for the measurement of vehicular traffic based on inductive loops and radars as well as modern solutions based on camera images and AI.
Connected measurement solutions
Inductive loop sensors
Inductive loop sensors, installed beneath the surface of a road, are a traditional and still reliable way of carrying out traffic volume measurements and vehicle classification. In this solution, the sensor reacts to changes in the electromagnetic field when a vehicle drives over a loop.
The technical implementation method makes the sensor a reliable way by which to measure traffic volumes in all weather conditions and different seasons.
Nodeon’s solution can be connected to both new and old loops already installed in the ground.
Neural networks and deep learning have been one of the most rapidly advancing areas of technology in recent years. Across the world, research and development teams are teaching neural networks to identify the most diverse things from images. Traffic measurement has been one of the many branches of development in this respect.
Nodeon provides a solution based on a combination of AI and an efficient camera image for the measurement of vehicular traffic. The solution enables an efficient two-way measurement on the basis of a single video image. One of the solution’s superior advantages is that it can also be used for the simultaneous measurement of both vehicular traffic and pedestrians and cyclists.
The advantages of microwave counters include their easy installation. This is why they represent a widely used way to implement traffic counts, particularly when the measuring point has to be moved during the count. The counter can be installed by the side of the road or street so that the installation does not disturb traffic in any way.
In addition to the volume of vehicles, counts based on microwave technology produce data on a vehicle’s direction, speed and lane.
The data of the microwave counter provided by Nodeon can be connected directly to the Nodeon Smart City cloud solution.
The Finnish Digitraffic data
Digitraffic is a Finnish national open data interface which provides among other things traffic data from a state-owned nation-wide traffic measurement points. These so called LAM points (LAM derives from the Finnish words Liikenteen Automaattinen Mittausasema meaning Traffic Automated Measuring station) are based on fixed inductive loops. At the moment, the LAM network includes nearly 500 fixed measuring points on public roads in Finland. The data is shared with the help of the open Digitraffic system.
Nodeon provides real-time situational awareness of all LAM measuring points and historical data all the way up to the 1990s – analysed and displayed visually, on a map – in a centralised manner through the Nodeon Smart City solution