AIDA – Artificial Intelligence Driving Autonomous is an ambitious research project promoted by the Politecnico di Milano and part of MOST – Centro Nazionale per la Mobilità Sostenibile.

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THE ISSUES OF MOBILITY

High car
density
An average of 750 cars per 1,000 inhabitants
Low number of kilometers driven annually by cars
On average, only 10,000 km per year
Too few vehicles in use
during the day
85% of the total car fleet is used less than 5% of the time

Electric car sharing: a possible solution, but partial

The car would be used by multiple people simultaneously and would not remain unused for most of the day.

The vehicle’s battery life would be maximized with more regular and continuous use.

Cars are often located far from the users who need them.

Economic sustainability is challenging.

autonomous driving

Shared vehicles capable of autonomously moving towards users, charging stations, and dedicated parking areas. 

Travel time optimization 

Energy resources optimization 

Reduction of pollution, including congestion and CO2 emissions 

Safety improvement 

AIDA’s Innovative Visions for the Future of Urban Mobility

All tests carried out by AIDA, including high-speed and outreach demonstrations, are conducted with the goal of developing innovative mobility solutions, particularly for urban environments.

Robo-Sharing: autonomous car-sharing for the future of mobility 

    The idea of Robo-Sharing originates from AIDA’s vision as a unique and pioneering proposal that merges car sharing with autonomous driving. 

      KEY CONCEPT:

        Un-manned operation

        • Delivering the car to the user
        • Park, re-assign, or take it to a charging hub
        • The main route is manually driven by the user

        Operations at low-speed (max 30kph)

        • It reduces risks and complexity.

        Active remote supervision

        • In complex or unusual situations, the vehicle stops or pulls over and requests intervention from a remote supervisor, who provides simple planning commands.
        • The AIDA solutions is NOT a remote driving; reques medium network requirement (4G) and a human operator easily handles edge cases
        • (Al: 98% of effort to train for 2% of the cases) 

        Robo-Linking: the autonomous personal shuttle for multi-modal mobility 

          KEY CONCEPT:

            • Autonomous 

            • Multi-modal 

            • Personal 

            • On-demand   

            • Shuttle 

            • Urban areas and highways 

            KEY CONCEPT:

              • Autonomous 

              • Multi-modal 

              • Personal 

              • On-demand   

              • Shuttle 

              • Urban areas and highways 

              Robo-Caring: autonomous driving supporting the mobility of the most vulnerable   

                KEY CONCEPT:

                  • Low-speed car service for frail people

                  • Small villages without public transportation

                  • Assistance in carrying out daily errands, such as reaching:
                    – Pharmacies
                    – Hospitals
                    – Supermarkets
                    – The town center

                   

                  • The service must guarantees:
                    – Accessability and safety
                    – Comfort and Well-being 

                  AIDA: autonomous driving for the future of mobility

                  The goal of AIDA is to develop a reliable and highly effective autonomous driving technology capable of operating on public roads under real-world and complex conditions, fully compliant with traffic regulations. Autonomous driving will be a fundamental technology to lay the foundations for a sustainable future of mobility, capable of meeting the needs of citizens.  

                  To achieve this goal, it is necessary to test and apply the developed technology in different contexts, with varying levels of complexity and complementary objectives.