Improving traffic flow

Traffic systems become more and more integrated with their environment. The number of connected road users is increasing rapidly. The amount of data around traffic systems is growing fast. Multidisciplinary knowledge is required for the functioning of the systems; in addition to traffic engineering, communication networks and data analysis also play a role. With Flow-as-a-service we offer the possibility to actually map how the flow in an area and over time functions. The acquired insight makes it possible to quickly adjust and implement changes in the systems. The impact is immediately visible. The road manager can continue to focus on his core tasks!

Monitor, analyze and improve

Flow-as-a-service data analytics is a very flexible Big Data software solution. Data sources such as VRIs (FlowNode), ITS applications (ImFlow) and connected road users are unlocked by adapters and data is merged into the Data Lake. Monitoring functions give meaning to the data such as intensities and waiting times. The information is visible on a user-friendly dashboard with which you can get a quick overview. With a few clicks, the dashboard shows the requested information in the form of KPIs and the overview of longer periods switches to details on a minute basis. Analysis functions combine multiple sources of data into combined information so that connections are easily made, for example the impact of bad weather on the flow. The anomaly analysis function shows unexpected or deviant patterns in the data based on predictions and gives grip on the events in traffic. The obtained insights are the basis for planning and calculating improvements in the flow.

Digital inspection

Finding the right balance between flow at the network level and arranging credibility at the crossroads level is a big challenge. In addition to collecting and analyzing data, the performance of the traffic system is analyzed with traffic knowledge. Flow-as-a-Service maps the traffic performance and recommends improvements. There is no need to look at the location anymore and the inspection can be automated much more often, resulting in a clear picture of the performance.