One post tagged with "pacific spatial"

Over the last few decades, it has become increasingly evident that passenger vehicles are by far the most dangerous way to travel. As a result, it has become more and more important to find an efficient and effective method to predict traffic risk. However, predicting traffic accidents and where they are likely to occur is a very complex problem, with large amounts of data being needed for most meaningful predictions.

At Pacific Spatial Solutions, we are currently trying to tackle this problem by training a machine learning model to predict road and intersection risk in Japan nationwide. As we are trying to predict traffic risk on a national level it is only natural that the data we use cover the same area.