Automation is one of the most promising enabling technologies of smart mobility in road transport, that enriched with cooperative systems and connectivity maximises its effects, leading to more efficient transport operations, lower environmental impact, enhanced user comfort and increased road safety preventing accidents.
Smart integration of currently independent transport elements (electric vehicles, connected and automated vehicles, road infrastructure) and collaboration with other sectors such as energy, fleet management, goods and services delivery, in a reliable, secure, transparent and decentralized way (Internet of Mobility), combined with users’ and stakeholders’ acceptance, can lead to a fast, smooth, safe, socially acceptable and beneficial to all participants mobility. The gradual transformation of the existing transport systems to novel automated road transport systems that introduce harmonised and orchestrated collaboration between all types of automated and connected vehicles, the infrastructure, the mobility users, freight, road and fleet operators, and public transport in a seamless way asks for a holistic and integrated approach.
CCAM, as a single platform for Cooperative, Connected and Automated Mobility, promotes the needed collaboration for supporting open road testing, and making the link to such pre-deployment activities. This is done through the coordination of CCAM research, piloting, testing and deployment activities, in order to increase their efficiency and effectiveness, by also addressing any issues related to data access and exchange, digital and road transport infrastructure, communication technology, cybersecurity and road safety.
The CAD Knowledge Base, as established within ARCADE, provides an essential tool towards this direction, creating a single place for sharing data, knowledge and experiences so that future automation solutions can overcome existing challenges and reach closer to enabling their full potential offering realistic, safe, socially acceptable and economic mobility. This database gathers all the information previously spread across projects and a broad network of stakeholders to establish a common baseline of connected and automated driving, thus ensuring transferability of knowledge for future research, development and testing of CAD.
We are driven by our determination to support CCAM activities and further contribute to the database, as we anticipate that the collaboration, accessibility and knowledge growth that is enabled by the CAD Knowledge database will prove to be an essential part for successful deployment of CAD concepts to fully unlock their potential benefits for the mobility of people and goods, across sectors and across borders.