Objectives
BIO-INTEL-MOB addresses key mobility and governance challenges in urban and peri-urban areas by overcoming data fragmentation, improving multimodal efficiency, enabling green-safe mobility, and strengthening citizen-centric decision-making. Through four main pilots (Rome, Cascais, Riga, and Vilnius) and satellite sites (Melsungen, Ciampino, Urla, and Rhodes), the project deploys scalable, climate-neutral solutions built on AI, data integration, circular logistics and participatory governance.

MultiSmartData
Optimise multimodal mobility through integrated data ecosystems
BIO-INTEL-MOB will create a unified city data ecosystem that integrates IoT, satellite, mobility and logistics datasets through the aMDS platform.
Using predictive analytics and multi-source data fusion, the project will optimise multimodal transport operations, improve connectivity between urban and peri-urban areas, and support evidence-based transport planning.
The aMDS Dashboard will allow authorities to analyse mobility dynamics, test policy scenarios, and optimise resource allocation.
The project will develop and deploy Peri-Urban Mobility Hubs (PUMHs) and a Green-Safe Routing Algorithm (GSRA) to enhance safety, accessibility and modal integration.
AI/IoT-driven detection systems, adaptive routing, and solar-powered infrastructure support greener and safer mobility—especially for vulnerable road users.
VR/AR participatory tools will empower citizens to co-design mobility solutions and public-space reorganisation.

SafeCitiMob
Achieve climate-neutral, safe, and inclusive mobility through GSRA and PUMHs

EcoLogis & FlexiMob
Develop sustainable and efficient logistics through circular economy models
BIO-INTEL-MOB will transform peri-urban logistics through Green-Safe Logistics Corridors, bioPLU, micro-hubs, and e-cargo-bike integration.
Real-time tracking, smart space reallocation, and the GSVRP (Green-Safe VRP) will improve low-emission freight flows and reduce packaging waste through circular solutions.
CO₂ monitoring tools will ensure EU-compliant carbon footprint tracking and support greener last-mile operations.
The project will develop and deploy Peri-Urban Mobility Hubs (PUMHs) and a Green-Safe Routing Algorithm (GSRA) to enhance safety, accessibility and modal integration.
AI/IoT-driven detection systems, adaptive routing, and solar-powered infrastructure support greener and safer mobility—especially for vulnerable road users.
VR/AR participatory tools will empower citizens to co-design mobility solutions and public-space reorganisation.

Smart City Governance
Enable adaptive, digital, and participatory governance for next-generation cities

AI Solutions
Deliver comprehensive impact assessment for sustainable, inclusive, and scalable solutions
Through AI-driven simulations and continuous monitoring, BIO-INTEL-MOB will assess environmental, social, economic, and operational impacts across all pilots.
The project will evaluate GHG reductions, safety and accessibility improvements, and economic viability, ensuring solutions can be scaled beyond the pilot regions.
BIO-INTEL-MOB will prepare policy recommendations and operational guidelines to ensure long-term regulatory compliance, interoperability, and scalability across Europe.
A Digital Policy Compliance Tool, integrated in SCGo, will support automated regulation tracking, while the Knowledge Hub will provide training, tools, and best practices for policymakers.

Scalability
Policy guidelines and EU-aligned frameworks for replicability
PARTNERS
WORK PACKAGES
BIO-INTEL-MOB is structured into seven interconnected Work Packages (WPs), implemented over the full project duration to ensure a coherent progression from concept design to real-world validation, impact assessment, and policy uptake.
WP 1 - Project Management, Coordination, and Standardization
WP1 ensures the effective overall management of BIO-INTEL-MOB, covering administrative, financial, and technical coordination.
WP 2 - Research, Concept Development, and Framework Design
WP2 lays the scientific and conceptual foundation. It develops AI-enabled frameworks for peri-urban mobility, logistics, and governance, aligned with EU directives and circular economy principles. This work package designs concepts such as the Advanced Mobility Data Space (aMDS), Peri-Urban Mobility Hubs (PUMHs), Green-Safe Routing Algorithms (GSRA), passenger mobility and sustainable logistics corridors and Smart City Governance (SCGo).
WP 3- Data Gathering & Integration and Digital Tools Development
WP3 builds the digital backbone of the project by creating an interoperable data ecosystem and Digital Twin environment. It integrates data from IoT sensors, AI cameras, satellite imagery, open data, and crowdsourced inputs to enable predictive analytics, scenario simulation, and real-time decision support.
WP 4 - Pilot Implementation and Validation
WP4 demonstrates and validates BIO-INTEL-MOB solutions under real-world conditions through various pilots. Citizens, authorities, and stakeholders actively participate in co-design and validation activities, ensuring solutions are effective, adaptable, and ready for replication in diverse peri-urban contexts.
WP 5- Impact Assessment and Validation
WP5 assesses the environmental, social, economic, and operational impacts of the project’s solutions. Using methods such as 3-Index Impact Assessment, Life Cycle Assessment (LCA), and Digital Twin-based validation, it evaluates emissions reduction, mobility efficiency, inclusiveness, and long-term sustainability.
WP 6 - Maturity, Scalability and Transferability
WP6 ensures that BIO-INTEL-MOB solutions are mature, transferable, and scalable beyond the project lifetime. It develops standardized frameworks, policy guidelines, and replication pathways aligned with EU regulations, enabling cities and regions to adopt and adapt the project’s innovations in different territorial and governance contexts.
WP 7 - Dissemination, Communication, and Exploitation
WP7 maximizes the project’s visibility, uptake, and impact. It delivers strategic communication and dissemination activities targeting policymakers, cities, industry, and citizens. Through a Knowledge Hub, policy tools, VR/AR showcases, and exploitation strategies.
