Our Living Labs
Turin (Italy)
Overview of the demonstration
The final objective of the tests in the Living Lab of the city of Turin was to evaluate the effects of dynamic rerouting on an autonomous shuttle. The tests focused on demonstrating how the autonomous shuttle can adapt its route when receiving a rerouting message in the presence of unexpected road events (e.g. traffic jams, road works, closures, accidents).
Vehicles
1 automated minivan of SAE level 3
for at least 10 people
Duration
1 month of set up
and 2 months of operation
(17/01/2025 – 17/03/2025)
Partners
Local stakeholders
Testing scenario
The Turin Living Lab took place in the southwest of the city, between the Hospital district and the Southern Metro terminal, using an SAE level 3 autonomous shuttle. The selected 5 km ring route ran along Via Genova and Via Ventimiglia, with Corso Spezia and Corso Maroncelli forming the northern and southern boundaries. Some transversal roads were designated for rerouting if needed. The main route featured 11 stops and 17 traffic-lighted intersections managed by the 5T Urban Traffic Control (UTC) system.
During demonstrations, the shuttle followed a predefined route, receiving real-time traffic signal information via SPATEM messages. To test dynamic rerouting, a simulated road closure event generated a DATEXII message indicating a blocked section. This message was converted into an ETSI C-ITS DENM message and sent to the Digital Twin (DT). The DT, using the SUMO micro-simulator, calculated an alternative route and transmitted it to the shuttle via a 5G network. The shuttle then automatically adjusted its route safely.
Throughout the demonstration, the shuttle maintained continuous communication with the infrastructure through the DT, receiving updates on traffic signals and road conditions while sharing its status. This process demonstrated how C-ITS services enable autonomous vehicles to dynamically respond to urban traffic management decisions.
Use Case:
Dynamic Traffic Management
This LL will cooperate with different actors (vehicle manufacturers, telco, research bodies, etcetera) to bring CCAM into mixed traffic, implementing C-ITS services. This use case will address warnings about the presence of Urban Vehicle Access Restriction Areas (UVAR), optimized routes, parking availability, optimal speed to elude traffic congestion and dedicated lanes for public and private CCAM traffic.
Objectives
- Complete an urban CCAM eco-system for the city of Turin.
- Apply and demonstrate new traffic management strategies supported by the CCAM eco-system to balance traffic flow.
- Simulate and evaluate the impacts on the road network of traffic management strategies in different connected, autonomous vehicles (CAV) adoption scenarios.
Key outcomes
The demonstrations covered 185 kilometres. The outcomes of the demonstrations will be reported after the analysis of the KPIs in upcoming deliverables.
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See also follower Living Labs
Bari (Italy)
