SELFY TOOLS VALIDATION THROUGH USE CASE SCENARIOS

Validation at three different levels: lab, simulation and real world

The innovative toolbox developed by SELFY has been tested in real and controlled use-case scenarios. This had the objective to validate the collaborative operation mode of the different tools developed.

The results obtained have made it possible to correct expected functionalities. Moreover, it has improved the capabilities of the tools, and determine the added value provided by the SELFY solutions in the CCAM environment.

REAL-WORLD VALIDATIONS

Applus+ IDIADA tracks in Catalonia, Spain

SELFY tools validation took place in the urban area of the ADAS/CAV test track at Applus+ IDIADA, in Catalonia, Spain, with a layout that replicates intersections, roundabouts, pedestrian crossings and driving lanes to faithfully reproduce real metropolitan traffic conditions.

The tests recreated scenarios such as detecting a vulnerable road user while a hacked vehicle was transmitting misleading information, identifying sensor failures through infrastructure data fusion, filtering unreliable cooperative messages, and safely aborting an overtaking manoeuvre during an active cyberattack. An anonymisation algorithm was also verified, protecting sensitive data in real time, such as pedestrian faces and vehicle licence plates.

Watch use cases demonstration videos

City of Vienna's real traffic conditions

A demonstration in the city centre was held under live-traffic conditions with camera sensors and roadside units installed across the city.

After mounting a high-resolution camera and a roadside unit on the infrastructure, the SELFY system monitored the coherence between images and CAM messages and accurately detected artificially induced mismatches, validating the infrastructure’s capability to identify misaligned or tampered sensors.

The urban pilot confirms that the same tools that work in closed tracks are equally effective in live traffic, a key step for their adoption at a European scale

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. This ensures having smart cooperation between automated vehicles, human controlled vehicles, and VRUs themselves.

Ensured VRU safety

SELFY tools support cooperative VRU safety by providing trustworthy communications between CCAM elements. In addition, it offers 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. This knowledge contributes to apply solutions that have been already verified to solve or mitigate these risks.

CCAM auditing and self-healing

In this scenario, SELFY provides a set of tools to audit the system, as well as plus high-level algorithms to recognize threats. Moreover, the tools have applied 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.

Avoiding collisions and better traffic management

SELFY has provided a strong and robust link to the platoon, avoiding possible risks like unstable strings due to bad spacing policy, in terms of actuation saturation. Moreover, SELFY has contributed in reducing 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.