The measurements of passing through traffic carried out for the City of Helsinki in the winter of 2018 are an excellent example of the benefits generated by Nodeon’s Traffic Flow Measurement and Analysis solution in relation to the production of raw data for traffic management projects.
The metropolitan area is growing rapidly, with its population expected to grow to two million by 2050. Although the area’s population continues to grow at a rapid rate, the space available for traffic is not increasing. A dense urban structure does indeed require a traffic system that is as efficient as possible. For the traffic in the centre of a growing city to remain functional, the city requires modes of transport that conserve space, such as public transport, cycling and pedestrian traffic.
To increase the efficiency of the traffic system in the centre of Helsinki, it is vital to understand the current context, particularly in relation to vehicular traffic, so as to arrive at well-designed plans based on the right evidence for reducing the number of vehicles.


Nodeon’s productised temporary measuring point is self-sufficient in terms of energy and can be deployed in 30 minutes without tools, even in challenging conditions.
Nodeon offers an innovative solution for the analysis of traffic flows to support traffic planning projects
The Traffic Flow Measurement and Analysis solution productised by Nodeon is an excellent tool with which to survey the volume and behaviour of vehicular traffic in the most central areas of a city.
For the City of Helsinki, Nodeon set up measuring points on the roads leading to the centre of Helsinki. The measurements served as a basis for origin area analysis of the incoming traffic. In addition to the origin areas of traffic flows, the project aimed to find out the composition of the emission values and driving force of the vehicle flows.
In addition to the origin areas of traffic and the emission and driving force distributions, the measurement project implemented an extensive measurement and analysis of the passing through traffic in the city centre. Passing through traffic was analysed separately for that travelling in the east–west direction and the west–east direction, after which Nodeon’s Smart City cloud environment carried out automated analyses on the volume of passing through traffic and its distribution across various origin areas, and the emissions generated by the passing through traffic in the city centre.
The data significantly increased the city’s understanding of the vehicular traffic and its composition in the city centre.