Imagine if buses and trains had a super-accurate GPS that never lied and could see air pollution in real-time. This project builds a smart brain for transport companies that uses satellites to keep vehicles on time and routes them away from smog. It's like giving city transit a high-tech upgrade to make commuting smoother and cleaner for everyone.
Public transport operators struggle with vehicle punctuality and inefficient routing, while city authorities lack real-time data to align transport schedules with air quality and environmental needs.
An 'Operating System' for transport operators featuring AI-driven demand matching, Copernicus-based air quality maps, and high-precision Galileo-enabled on-board hardware.
If you are a transit operator dealing with unpredictable delays and poor punctuality — this project developed Galileo-enabled receivers and AI planning that improves reliability and travel time. It allows for better matching of vehicle supply to passenger demand.
If you are a city authority dealing with urban air pollution and inefficient routing — this project developed Copernicus-powered analytics that assist in operational planning based on spatial pollution trends. This helps in making mobility decisions that reduce emissions.
If you are a hardware provider dealing with low-precision positioning in urban canyons — this project developed certified on-board units and the NEXA RT engine capable of handling carrier-phase measurements. This enables the deployment of advanced features to over 200,000 vehicles.
Based on available project data, the project is preparing tailored business models: cost-efficient, plug-and-play options for small/medium operators and deep integration for large operators.
Yes, the project aims to foster uptake on a global scale and uses a dissemination strategy led by ERTICO and POLIS to maximize outreach to the global public transport industry.
Based on available project data, specific licensing terms are not listed, but selected data sets will be shared in a decentralized way following the EU Data Spaces reference architecture.
Integration is achieved through APIs and webhooks, using certified on-board units and Galileo-enabled receivers that plug into an 'Operating System' for transport operators.
The project runs from 2024-01-01 to 2026-11-30, aiming to deliver market-ready solutions (TRL 7-9) by the end of the period.
The consortium is heavily industry-driven with 11 industrial partners (73% ratio), including 4 SMEs. This strong commercial lean, combined with the absence of universities and only one research entity, indicates a focus on commercialization and deployment rather than basic research.
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