Visual analysis of speed bumps using floating car dataset

The analysis of traffic movements in urban populations is important for safety measures to control speed when the presence of pedestrians is high. Most of the studies in the traffic domain are directed towards statistical analyses of speed, also to measure the physical parameters of bumps on roads, and effect of speed-calming measures. However, less is known about the effectiveness of varying intervals between speed-calming measures and their influence on the driving behaviour of vehicles from a spatio-temporal perspective. To fill this gap and understand these aspects, in this research we propose visual analytics techniques. To explore the influence of the distance between bumps on speed change behaviour of vehicles in relation to the permitted speed limit, several use case studies were selected with the close cooperation of a traffic expert. The aim was first to study the influence of the speed bumps on speeding, and then establish any connection between speed bump intervals and vehicle speeding in the selected use cases. The results of our investigation did reveal minor differences and influence of a time aspect on traffic volume and speed development. Also, differences in actual speed of the vehicles in relation to the distance of installed bumps were detected.