Research and Development
Road Safety Enhancement
Road Barriers, eco-sustainable and performing
AISICO has conducted analyses and in-depth studies on issues related to improving road safety, with a particular focus on measurement systems and energy absorption criteria in the event of a collision. As part of its research activities, it contributed to the definition of technical parameters for motorcycle safety barriers, crash cushions, and railway noise barriers, while also considering the use of thermoplastic materials—including those derived from recycling—and evaluating production methods such as thermoforming and 3D printing.
Virtual Crash Tests for the Safety of Next-Generation Vehicles
Digital Platform, Road Safety Barrier, and Machine Learning
Next-generation vehicles necessitate improved safety for road users and require a revision of the UNI EN 1317 standard for the certification of road restraint systems. These factors have given AISICO new impetus to develop virtual crash test models using artificial intelligence techniques capable of analyzing vehicle impact tests on road safety barriers with test parameters different from those of the standard, as well as evaluating the containment class of the barriers through the assignment of a star rating.
Digital ecosystem for predictive maintenance of critical transport infrastructure
Digital Platform and Artificial Intelligence
The DIPM project responds to the need of the market for the maintenance of critical transport infrastructures (motorways, bridges, viaducts and tunnels) to implement a predictive maintenance tool based on Artificial Intelligence techniques, an integrated multi-sensor platform and a web platform.