Transport infrastructures, networks, parking
Finding the right time: with the vialytics system, the road condition data is always up to date. This will allow you to initiate efficient maintenance and extend the life of the road.
An iPhone modified by vialytics is attached to the windshield of a municipal vehicle. The advantage is that the community can attach the smartphone to a vehicle that is already on the road anyway, such as a car. On a sweeper.
This allows municipalities to carry out the status detection themselves without additional effort. The smartphone takes a picture of the streets every four meters. In addition, the motion sensor responds to vibration while driving and the GPS receiver determines the exact locations of the images.
Thus, cracks, bumps and potholes are accurately detected on the roads. In addition to the nature of the damage, the extent is also analyzed. The image and vibration data are initially cached on the smartphone.
Once the smartphone connects to the Wi-Fi network, all data is transferred to vialytics, where it is automatically evaluated using the artificial intelligence developed by vialytics. The underlying technique is based on “Convolutional Neural Networks (CNN)” or German neural networks. In assessing the damages, vialytics follows the recommendations for maintenance management of urban roads (E EMI 2012), which are used by the Road and Urban Research Society Transportation were issued.
The result is reflected in a web-based geoinformation system in which every street in the community was rated. On the dynamic map, to which the municipalities have access, the road sections receive school notes, which can be used to derive the condition of the roads. The degree of detail in the preparation of the data makes it possible to filter specific individual damages in the user interface.