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Proactive Real-Time Road Safety Interventions Via Predictive AI-Enabled Digital Twins

Objective

"PROSAFE‑TWIN delivers a safety‑first digital twin fusing physics-based traffic dynamics with AI to prevent safety‑critical events before crashes occur. While current management is reactive—acting only after incidents emerge—PROSAFE-TWIN identifies high-risk segments in advance. It transforms the Safe System Approach into an operational reality, providing road authorities with the predictive intelligence to intervene before escalation, directly supporting the EU’s ""Vision Zero"" goals.

The technical core is a Hybrid Digital Twin bridging the gap between raw data and human decision-making. By combining the ""laws of physics"" with AI, the system fuses streams from sensors, connected vehicles, and weather into a real-time risk map. This detects hazards like hidden queues or dangerous interactions with vulnerable road users (VRUs). Crucially, the project integrates Social Sciences and Humanities (SSH) to translate insights into usable workflows, using human-factors engineering to reduce cognitive overload and ensure effective human-in-the-loop oversight.

The project delivers high-impact outputs focused on trust and scalability. PROSAFE‑TWIN addresses the AI ""black box"" by providing uncertainty-aware predictions with explicit confidence bounds, eliminating alert fatigue. A fairness-by-design framework ensures safety benefits are equitably distributed across socioeconomic contexts. To support resource-constrained networks, the SAVI framework optimizes data efficiency, making proactive safety viable without dense, expensive hardware.

Validation occurs across four diverse European testbeds: rural hubs, urban streets, high-speed corridors, and data-sparse regional roads. By encoding risk intelligence into ITS standards and providing an EU AI Act conformity pack, PROSAFE-TWIN establishes a replicable, privacy-preserving blueprint. Through the participation of US-based partners, these best practices are designed for global transferability, including replication on US roads."

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Funding Scheme

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

(opens in new window) HORIZON-CL5-2026-01

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Coordinator

ASOCIACION CLUSTER DE MOVILIDAD Y LOGISTICA DE EUSKADI
Net EU contribution
€ 379 487,50
Address
AVDA TOLOSA 75
20018 SAN SEBASTIAN
Spain
Region
Noreste País Vasco Gipuzkoa
Activity type
Other
Links
Total cost
No data

Participants (14)

Partners (2)