DaVinci stands for Data Validation and Inspection for the Corporate Information chain. DaVinci was developed to improve the quality of the traffic data collected from the induction loops and radars. Rijkswaterstaat has installed a large amount of induction loops on the Netherlands highways. The MTM-2 (Motorway Traffic Management) system makes use of the loops to detect traffic jams. The AID algorithm of MTM-2 then automatically warns the road users before they approach the tail of the traffic jam. In this manner, drivers can slow down their cars in time. This prevents potential collisons and improve the road safety. Other systems Monica and Monibas also use the loop data to generate traffic information for the road users and the traffic engineers.
The number of loop detectors grows rapidly in the past decades. This introduced another new problems. The loop detectors are widely distributed over the entire road network. The maintenance of the entire areal is a big challenge. The project manager of Scenwise proposed the DaVinci approach. We derive intelligent business rules to conduct daily health checks of all the loops. In this manner, we can quickly identify which loops are defect and which loops are delivering implausible data. The system can also indicate the possible causes of the defect which helps maintenance staff to conduct the reparation efficiently. The system reduces the maintenance costs substantially.
Later, the DaVinci Dashboard was developed which makes the validation results easily accessible for a wide variaty of users including traffic engineers, the department of mission critical support, contractors and policy makers.