Imagine if your train and plane talked to each other to make sure you never missed a connection. This work creates a digital brain that syncs flight and train schedules to cut down waiting times. It also acts like a GPS for chaos, quickly rerouting people when delays hit so the whole trip doesn't fall apart.
Air and rail networks currently operate in silos, leading to long transfer times, frequent missed connections, and inefficient recovery during operational disruptions.
Three software-based tools: a Performance Assessment tool for measuring passenger impact, a Schedule Design tool for air-rail synchronization, and a Disruption Management tool for real-time reallocation.
If you are an airport operator dealing with passenger congestion during flight delays — this project developed a Disruption Management solution that reduces delays and improves recovery times across interconnected air-rail systems.
If you are a rail operator dealing with poor synchronization with flight arrivals — this project developed a Schedule Design solution that optimizes coordination to reduce transfer waiting times for passengers.
If you are a booking platform dealing with unreliable door-to-door travel times — this project developed a Performance Assessment tool that uses passenger-centric metrics to measure and improve the reliability of combined trips.
Based on available project data, specific pricing or licensing costs for the solutions are not provided; the EU contribution for the research was EUR 1,305,380.
Yes, the project validated its solutions using real-world case studies and datasets, demonstrating measurable improvements in network efficiency across various demand scenarios.
Based on available project data, the IP and licensing terms are not specified, though the project focused on ensuring components have clear integration and dataset requirements for future adopters.
The Disruption Management solution extends the A-CDM (Airport Collaborative Decision Making) concept to other transport modes to enable real-time response to disruptive events.
The project period runs from 2023-07-01 to 2025-12-31, indicating that the tools are currently in the validation and finalization phase.
The consortium consists of 6 partners across 5 countries (BE, DE, ES, FR, UK). It features a lean structure with a 17% industry ratio (1 industry partner) and 2 SMEs, balanced by 2 universities and 1 research organization, suggesting a strong academic foundation with targeted industrial validation.
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