The innovative toolbox developed by SELFY will be tested in real and controlled use-case scenarios with the objective to validate the collaborative operation mode of the different tools developed.
SELFY TOOLS VALIDATION
The SELFY toolbox is to be validated in three different scenarios
Three use-case scenarios
Validating SELFY’s solution
The results obtained will make it possible to correct expected functionalities, improve the capabilities of the tools, and determine the added value provided by the SELFY solutions in the CCAM environment.
Resilient cooperative mechanisms for VRU safety
The increasing number of automated vehicles allows improving the safety of Vulnerable Road Users (VRUs), such as pedestrians and cyclists, by having smart cooperation between automated vehicles, human controlled vehicles, and VRUs themselves.
SELFY tools will support cooperative VRU safety by providing trustworthy communications between CCAM elements and offering resilience and safety reaction using a centralised control system in combination with decentralised tools for resilience and healing.
Secure empowerment of backend system for traffic management system
The CCAM ecosystem requires secure and robust remote data connections to cloud servers. The complete system of nodes in the ecosystem shall learn from specific attacks, hazards, and vulnerabilities and apply solutions that have been already verified to solve or mitigate these risks.
In this scenario, SELFY provides a set of tools to audit the system, as well as plus high-level algorithms, to recognize threats, apply responses and regulate the system by providing healing recipes, software updates or mitigation actions instructions.
Robust platooning
Platooning is one of the most representative cooperative manoeuvres. It provides two main benefits: fuel consumption reduction and traffic congestion decrease thanks to a more efficient use of the road network.
SELFY aims to provide a strong and robust link to the platoon, avoiding possible risks like unstable strings due to bad spacing policy, in terms of actuation saturation; rear-end collision with forward vehicles, collisions with vulnerable road users (e.g., pedestrian, cyclist, etc.), or high collisions probabilities that foster a platoon split to ensure safety.
