When a single physical road network is represented by more than one digital road network, and data are available on each of the digital networks, it is necessary to determine how the digital networks are correlated to fulfil the full potential of combining the data. When data referenced to positions or segments on one network need to be re-referenced to corresponding positions or segments in the other network, a coupling table will tell how to perform the conversion. The process of calculating coupling tables, i.e. matching digital networks to each other, has been given different name tags. Some call it conflation or network mapping, we call it netmatching.
With more than a decade of customer projects and applications asking for extremely high precision and coverage requirements, we have frequently had the need to perform netmatching, and hence we have implemented a tool for exactly this. With unprecedented automation degree (above 99.5 %, dependent on digital network quality and applied robustness measures) and an automated quality assurance process, based on machine learning, we can provide the best possible coupling tables for almost any pair of networks corresponding to the same physical road network.
If you need a coupling table between two digital networks, you may simply follow the steps below:
When your netmatching is done, you may want to assess the quality of the results. We can help you with this, even if the netmatching was not done by us. Some of the headlines with the quality assessment ar given in the list below:
If you have a source network with a combined segment length of less than 10 km, and a target network for the corresponding area with less than 100 km combined segment length, you are welcome to send them to us. We will make a fast initial netmatching and provide you with a visualization of the match and the corresponding coupling table. If for some reason our netmatch tool does not provide satisfying results, we will estimate the amount of work necessary to improve these. Often quality of the results depend on preprocessing of the digital networks, and this functionality depends highly on the nature of the networks involved.