The Gamms project was presented as part of the Special Interest Session at ITS Europe, on May 31, 2022 at Toulouse, France. The session was moderated by Enide and was also attended by ESRIUM, Omicron as H2020 projects, as well as ASECAP.
ITS Europe 2022 took place at Toulouse, and offered a Special Interest Session which covered the topic of the ´Next Generation Solutions for Road Infrastructure in H2020′. This session brought together three EU-funded projects on ITS, plus the European Association of Operators of Toll Road Infrastructures. It provided an excellent overview of state-of-the-art European research and innovation combining autonomous transport and automotive engineering with Galileo services, AI, and Digital Twins to enhance road safety and efficiency.
After identifying the specificities of each project, distinguished experts from academia, industry, and international associations focused on possible synergies, such as HD maps and satellite services in GAMMS and ESRIUM, Digital Twins and data frameworks in ESRIUM and OMICRON, etc.
Moderator and Organiser: Loha Hashimy, ENIDE Solutions SL, Spain
The goal of this session was to present new technologies as a real enabler of the digitalization of road infrastructure management. This session represented a valuable opportunity to retrieve recommendations and best practices for resilient digital infrastructure, especially directed to public authorities and road and infrastructure operators (ASECAP).
Additionally, this panel discussion showcased the achievements made possible by the Horizon 2020 programme and helped highlight the European Union as a leading actor worldwide in the scientific and industrial transport sector. Finally, the session stood out for its pan-European relevance, as it covered more than ten European countries participating in the analysed projects and as well as the toll operators of twenty member countries represented by ASECAP.
GAMMS is a Horizon2020 project enabling the exploitation of space data for surveying and mapping. The main objective is to develop an autonomous terrestrial mobile mapping system (AMMS), based on the tight integration of autonomous vehicle (AV), navigation/geodetic, and artificial intelligence (AI) technologies.