Imagine a giant digital brain that connects trains, trucks, and ships so they all talk to each other. Instead of each transport mode using its own separate map and schedule, this tool puts everything in one place to find the fastest, safest routes. It's like having a smart GPS for an entire city's transport network to stop bottlenecks before they happen.
Transport managers struggle with fragmented data and poor connections between different modes of transport. This leads to high operational costs and inefficient decision-making.
A cloud-based AI Decision Support System featuring a Federated Smart Data module and an Impact Assessment SaaS tool.
If you are an intermodal freight operator dealing with fragmented data and high operational costs — this project developed an AI-based decision support system that optimizes multi-criteria transport routes. This reduces inefficiencies when switching cargo between different modes of transport.
If you are a municipal transport authority dealing with inefficient interconnections between city transport modes — this project developed a cloud-based platform that centralizes data for real-time monitoring. This allows for better redesign of infrastructure to improve passenger accessibility.
If you are a software provider dealing with a lack of integrated tools for multimodal assessment — this project developed an Impact Assessment module/SaaS for evaluating infrastructure benefits. This provides a ready-made tool for measuring compliance and efficiency gains.
Based on available project data, specific pricing is not mentioned, although the project intends to provide an Impact Assessment module as a SaaS (Software as a Service).
Yes, the project is validating its effectiveness across 4 diverse pilot sites in Bilbao, Hamburg, Vienna/Linz, and Thessaloniki to ensure it works in different multimodal contexts.
Based on available project data, the IP and licensing terms are not specified, but the project involves a consortium of 14 partners including 3 industry members.
It uses a Federated Smart Data (FSD) module to centralize diverse data sources into a unified cloud-based platform, ensuring data follows FAIR principles.
The project runs from 2025-08-01 to 2029-07-31, suggesting the tool will be refined and validated through 2029.
The consortium is heavily weighted toward research and technical expertise, with 6 research organizations and 2 universities. However, there is a significant commercial push with 3 industry partners and 3 SMEs, resulting in a 21% industry ratio. This mix suggests a project that is grounded in deep AI research but focused on practical application through its 14 partners across 6 European countries.
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