Join the MAIA second stakeholder workshop on March 12 in Madrid to discover the 3 tools developed by the MAIA partners to enhance the experience of air passengers with multimodal transport innovations including autonomous shuttles and urban air mobility services!
Time: 10:00-15:00 CET
Location: IBERCENTER, Plaza Carlos Trias Bertran, 4, 28020, Madrid. (https://maps.app.goo.gl/k4tmHR6qafhi959m8) & Online
MAIA aims at improving airports’ accessibility and operational efficiency with the use of transport innovations, based on autonomous shuttles and electric vertical take off and landing aircrafts (eVTOLs). To this end, the project has developed three main tools to be exploited and further enhanced beyond the project lifetime: MAIA-ENGINE, MAIA-CCAM, and MAIA-UAM.
MAIA-ENGINE relies on a data inventory and algorithms to predict air passenger behaviour and to model airport access demand.
MAIA-CCAM uses a scenario-approach to develop algorithms supporting smart dispatching of a Shared Autonomous Vehicles fleet, able to mitigate disruptions.
MAIA-UAM also uses a scenario approach defined with external stakeholders to develop algorithms evaluating different potential locations for vertiport installation within airports.
MAIA-ENGINE has been used with aggregated data about passengers in the Madrid and Brussels airports, providing inputs for the development of both MAIA-CCAM and MAIA-UAM algorithms.
In Madrid, MAIA-ENGINE has been used to define passenger profiles, exploiting mobile phone data to reconstruct trips to the airport. A prediction of demand for airport access services was done to identify which areas are more likely to generate trips with Shared Autonomous Vehicles. In this case study, vertiport locations are primarily concentrated in business zones within urban areas.
In Brussels, a passenger synthetic population was prepared based on survey data from the Brussels Airport to extract information on trips to the airport, enabling the modelling of demand for airport access services. However, data was lacking to obtain a prediction of airport access demand. Therefore, only theoretical inputs from MAIA-ENGINE were used to develop a basic fleet simulation within MAIA-CCAM, including disruption expectations. MAIA-UAM has used this input to define the best location of vertiports in cities near Brussels Airport, focusing on intercity connection rather than connections between the airport and the city center of Brussels exclusively.
The methodology followed in these developments and tests will be presented at the workshop, together with an overview of the results and how they can support the improvement of airport operations and accessibility, making it more efficient and reducing environmental impacts.
We call on all interested stakeholders to participate in the MAIA tools’ improvement, including airports, airlines, passenger representatives, shuttle operators, autonomous vehicle operators, drone operators, vertiport operators, regions with an airport on their territory, and more. We need your feedback!
The workshop agenda will be published on this page closer to the event. Stay tuned.