MODALSHIFT joins the ALICE Liaison Programme to advance multimodal, data-driven mobility optimisation

Thursday, January 8th, 2026

ALICE is pleased to welcome MODALSHIFT as a new Liaison Project within the ALICE Liaison Programme, strengthening our ecosystem of research and innovation initiatives driving the transition toward an efficient, low-carbon and digitally interconnected mobility and logistics system.

Coordinated by the Aragon Institute of Technology (ITA) and funded under the EU Horizon Europe Programme (Grant Agreement 101203040), MODALSHIFT runs from June 2025 to 31 December 2028 with a total budget of €4.99 million.

The project contributes directly to EU policy priorities including the Digital AgendaClean Air, Artificial Intelligence, Climate Action and Biodiversity. 

About MODALSHIFT 

MODALSHIFT aims to create a trusted, integrated and multimodal optimisation framework that connects data from infrastructure managers, logistics operators and mobility providers. The project seeks to deliver a comprehensive view of mobility flows and operational conditions through new data sources, predictive analytics and cooperative traffic management.

Its ambition is to support both freight and passenger mobility by developing tools and governance models that enable coordinated operations, reduce congestion, and stimulate the shift toward low-carbon transport modes.

The project is part of the Multimodal Traffic Management Cluster, alongside other ALICE-related initiatives such as DELPHI.

Key objectives 

  • Develop a multimodal transport and traffic management optimisation framework capable of integrating data from logistics, public transport and infrastructure operators.
  • Deploy new IoT devices, including a smart box enabling Capacity-as-a-Service and an e-subscription solution facilitating more inclusive public transport access.
  • Establish a trusted mobility data space in three case studies (Bulgaria, Italy and Spain), based on secure geolocation data anonymisation.
  • Enhance traffic forecasting capabilities and increase event detection accuracy by 15%.
  • Use predictive and prescriptive analytics, digital twins and synchromodality-based scenarios to reduce transshipment and interconnection delays by 25%.
  • Assess user acceptance of modal shift strategies through agent-based modelling.
  • Deploy a multimodal traffic management platform coordinating dynamic optimisation algorithms, mobility operators and planners across multimodal hubs.
  • Define governance, stakeholder value chains, dynamic pricing and business models to support participation of at least eight stakeholders in each case study.

Relevance to ALICE and expected collaboration 

Through the ALICE Liaison Programme, MODALSHIFT will collaborate with ALICE to:

  • Contribute to the development and validation of ALICE Roadmaps, particularly in areas related to Digitalisation, Decarbonisation, Multimodality and Synchromodality.
  • Engage with ALICE Thematic Groups to exchange knowledge and support alignment with European research and innovation priorities.
  • Share project findings, deliverables and dissemination materials through the ALICE Knowledge Platform.
  • Participate in ALICE events, including workshops and webinars, and join relevant community discussions.
  • Explore opportunities for joint exploitation pathways and wider European deployment strategies.

Advancing Europe’s transition to efficientinclusive and low-carbon mobility 

By integrating freight and passenger mobility perspectives, MODALSHIFT represents a new generation of multimodal optimisation projects grounded in data sharing, cooperation and systemic innovation. Its outcomes will support European cities, operators and infrastructure managers in designing more resilient, efficient and sustainable mobility networks, fully aligned with ALICE’s long-term vision of the Physical Internet and interconnected logistics.

ALICE looks forward to collaborating closely with the MODALSHIFT consortium throughout the project duration.

Visit the project’s website: Modalshift – Multimodal Optimisation leveraging Data Acquisition



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