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\u2014including those derived from recycling\u2014and evaluating production methods such as thermoforming and 3D printing.<\/p>\n\n\n\n
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.<\/p>\n\n\n\n
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.<\/p>\n\n\n\n
<\/p>\n","protected":false},"featured_media":1612,"parent":0,"menu_order":13,"template":"","rdi_section":[24],"class_list":["post-1270","rdi","type-rdi","status-publish","has-post-thumbnail","hentry","rdi_section-research-and-development"],"yoast_head":"\n