Imagine a digital map that predicts exactly where to put air taxi landing pads so they connect perfectly with trains and buses. It uses AI to figure out where people actually want to go and how to make the trip seamless. It's like a GPS for city planners to design the future of regional flight.
Regional transport often lacks efficient connections, and the introduction of air taxis (IAM) lacks the data needed to place infrastructure correctly or predict passenger demand.
A data analytics and modelling toolset and a digital twin for planning the integration of air mobility into regional transport networks.
If you are an aircraft operator dealing with uncertain passenger demand — this project developed a data analytics toolset that helps anticipate adoption patterns and optimize service performance. This ensures your flights are full and efficient.
If you are a developer dealing with high costs of misplaced infrastructure — this project developed a modelling tool for vertiport location. This helps you place landing sites where they maximize regional connectivity.
If you are a transport authority dealing with fragmented travel options — this project developed a way to integrate air mobility into the Mobility-as-a-Service ecosystem. This improves the overall passenger experience across different modes of travel.
Based on available project data, the specific commercial price is not listed, but the project is supported by an EU contribution of EUR 999,625.
Yes, the project aims to derive recommendations for large-scale deployment of air mobility services across Europe through cost-benefit analysis.
Based on available project data, licensing details are not provided; however, the project is coordinated by Nommon Solutions and Technologies SL with 7 other partners.
It uses mobility data spaces and AI tools to connect air mobility with the existing European Mobility-as-a-Service (MaaS) ecosystem.
The project runs from 2024-09-01 to 2027-02-28, with a vision for these services to be active within the next decade.
The consortium is heavily industry-weighted with a 75% industry ratio, consisting of 6 industrial partners (including 4 SMEs) and 1 university. This strong commercial presence, led by a Spanish SME, suggests the project is focused on practical market application rather than purely academic research.
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Contact us to explore how PRIAM's data analytics can optimize your regional transport network.
