Using GeoVisual Analytics for understanding the distribution of complex movement patterns on the arterial roads

Arterial roads have a particular operational significance and play a substantial role in the mobility and economic development of the modern society. They make up the majority of the road transport in urban and rural areas, and allow high-speed movement despite speed limitations and traffic controlling elements urban areas. In densely populated areas, where the presence of Vulnerable Road Users (VRU) is high, a high-speed movement is problematic from a road safety perspective, since many VRUs do crossroads by ignoring regardless of regulation and design limitations of the road network. These aspects have been researched in traffic domain from a statistical and an engineering perspective, however, not much has been investigated from a cartographic perspective. In order to fill this gap and provide comprehensive insights on movement characteristics of arterial roads, we propose a GeoVisual Analytics (GVA) approach. GVA techniques are suitable solutions to display and extract knowledge from large Floating Car Datasets (FCD). With the cross-sector collaboration between cartographic and traffic experts, five streets in Aalborg City were selected to answer; where, when and how often VRU do cross streets by igniting traffic rules. This will be studied on the basis of clusters of big unexplainable deviations from driving speed in FCD. The results will allow us to uncover meaningful patterns from complex traffic movements in populated areas, and provide some recommendations that are critical for traffic safety.