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SAFE-MOVE: SAFE AND ACCESSIBLE FUTURES FOR EVERYONE MOVING USING ACTIVE AND MICROMOBILITY

Objective

SAFE-MOVE advances safe active mobility uptake and research by introducing a human-centred, evidence-based approach that integrates actual and perceived safety for pedestrians, cyclists, and micromobility users. Moving beyond conventional crash-focused approaches, it captures near-misses, dynamic interactions, and embodied safety experiences that shape behaviour and mode choice. The project combines multi-source traffic, infrastructure, vehicle, and health data with immersive eXtended Reality (XR) experimentation and explainable Artificial Intelligence to analyse safety-critical situations that are rare, underreported, or ethically impossible to observe in real traffic. Explainable AI ensures transparency and interpretability, supporting trust, transferability, and policy relevance. SAFE-MOVE translates these insights into harmonised assessment methodologies, predictive models, and validated indicators, enabling robust evaluation and comparison of regulatory, infrastructural, technological, and behavioural interventions across Safe System Approach stakeholders. Special focus is placed on interactions between users with differing masses and speeds, including e-bikes, e-cargo bikes, and e-scooters, for both personal mobility and urban logistics. Large-scale pilots in four European cities validate methods in real traffic, support cross-city learning, and ensure applicability under diverse safety, infrastructure and cultural conditions. Implemented by a multidisciplinary consortium bridging engineering, behavioural science, XR, AI, urban planning, and policy, SAFE-MOVE delivers actionable, standardised guidance that accelerates safer, more inclusive active and micromobility systems across Europe.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

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

TECHNISCHE UNIVERSITEIT DELFT
Net EU contribution
€ 858 248,03
Total cost
No data

Participants (21)

Partners (1)