MIA: Multimodal Interchange Assistant

Implementing public mobility services through personalized assistants
Thematic area: Digital society, Projects
Financing: ICSC Innovation Grants
Enabling Technology: Artificial Intelligence, LLM, Machine Learning

Public mobility services are seen as a fragmented set of options to move in urban areas, but not as a real alternative to private cars. To improve the attractiveness of public transport, its use needs to be easier for the final user, as easy as getting into their car and going to their destination. MIA, an evolved mobility assistant for trip planners, aims to solve this problem, making traveling with public transportation easier and more reliable, offering plans and recommendations tailored for each user and defined by a high number of variables, including the real time status of the city mobility, the weather conditions and the user needs or preferences. 

Italian Research Center on High Performance Computing Big Data and Quantum Computing (ICSC), project funded by European Union – NextGenerationEU – and National Recovery and Resilience Plan (NRRP) – Mission 4 Component 2. 

The goal

The main goal is to simplify and personalize the travel experience by integrating various mobility services, such as public transport and sharing services. MIA, the Modal Interchange Assistant, aims to provide flexible travel plans that adapt in real-time to changes, such as delays or bottlenecks, and to improve wait times by offering personalized activities. In addition, the project aims to collect feedback from users to continuously improve the service and contribute to the promotion of more sustainable and accessible urban mobility, encouraging the transition from the use of private cars to public transport. With its ability to tailor trips to users’ specific needs and adapt to their preferences, MIA aims to make public transportation a more attractive and accessible option for everyone.  

The initial challenge

MIA was created to address the complexity and dynamism of urban travel by public transport. Facing the problem of modern travel planning, such as delays or congestion, it aims to adapt in real time to such changes and to integrate different mobility options, including sharing services and public transport.

The solution

MIA combines different transportation services, such as buses, trains, shared mobility services, and taxis, offering users a complete and personalized travel plan. The system dynamically adapts to traffic conditions and other unforeseen factors, updating travel plans in real-time to minimize delays and inconveniences. It also offers personalized suggestions during wait times, improving the overall traveler experience and promoting more sustainable use of public transportation. 


  • Travel plans are optimized and personalized, taking into account several factors such as time, cost, and personal preferences.  
  • It quickly adapts to real-time changes, such as transportation delays or traffic issues, reducing stress and uncertainty for the user.  
  • It combines different modes of transportation, including public transport and shared mobility services, for better accessibility and convenience.  
  • It enhances the waiting experience with personalized suggestions for nearby activities and amenities.  
  • It simplifies ticket purchase and validation for all segments of the journey.  
  • It promotes the use of public transport, contributing to the reduction of environmental impact and the decongestion of urban traffic.  
  • It uses user feedback to continuously improve the services offered, adapting to changing needs and preferences. 


Participating Spoke

Spoke 9


For further information, please contact: barbara.vecchi@ifabfoundation.org

Sustainable Development Goals


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