This document provides an overview of the ReMuNet project, detailing its objectives, methodologies, and key findings. It introduces the project’s goals and theoretical framework, including concepts like the Physical Internet and TEN-T corridors.

This deliverable summarizes the results of task 1.2, which aimed to create a standardized framework for understanding the intermodal transport ecosystem relevant to the ReMuNet project. The European intermodal rail freight market was 143,000 million tkm in 2023. This is slightly higher than in 2019 but significantly lower than in 2022 due to a downturn in container trade and economic changes after the Ukraine war. Intermodal transport still constitutes 32% of the rail freight market. Additionally, UIRR has created a catalogue of national country sheets related to intermodal transport, including transport volumes, key stakeholders, legislation, and funding schemes, to help estimate intermodal potential.

With a focus on resilience, alternate routing, and disruption mitigation, ReMuNet aims to develop a standardized methodology for describing multimodal transport networks. Task 1.3 involves creating a typology of disruptive events, considering stakeholder perspectives. The study identifies railways as a vulnerable link and emphasizes the importance of sustainability in transportation goals. Insights from various stakeholders contribute to defining key terminology and developing a typology that informs the project’s ultimate goal: an AI-based self-learning transport network for enhanced resilience, reduced emissions, and improved efficiency during disruptive events. The findings guide subsequent mathematical modeling in the project’s work packages.

One core objective of ReMuNet involves developing a standardized methodology for multimodal transport networks. Task 1.4 focuses on root cause and impact analysis, identifying mega root causes like climate change and geopolitical conflict. The study, utilizing the 5 Why’s method, analyzes recent disruptions, highlighting their underlying causes. This research is crucial for building a collaborative platform and progressing towards an AI-based self-learning transport network for improved resilience, reduced emissions, and enhanced efficiency during disruptive events. The findings will inform mathematical models in subsequent work packages.

This deliverable, part of Task 1.5, analyzes the societal impact of transport network disruptions, building on previous tasks that developed typologies and root cause analyses of disruptive events. The analysis includes six case studies on the Rhine-Danube and North Sea-Baltic corridors, examining impacts on the transport network, supply chains, and society.

This deliverable focuses on creating a standardised reference model for multimodal transport networks (MTNs) to support sustainable and efficient transport systems across Europe. By defining and categorising essential elements and attributes of these networks, the model aims to improve intermodal connections, address infrastructure inconsistencies, and enhance cross-border collaboration. The model also serves as a shared framework for stakeholders, fostering better communication, efficiency, and adaptability in developing and maintaining transport infrastructure.

This deliverable aims to improve the resilience and sustainability of the EU freight transport network by optimizing network flows and offering alternative routes during disruptions. It develops mathematical solutions to address planning and optimization challenges and provides a test system for users to interact with these services. These solutions will be integrated into project implementations and pilots for practical use.

This deliverable, corresponding to task 3.1, presents the data management plan (DMP) for the ReMuNet project and is the first result from Work Package 3 (WP3). Led by FIR, WP3 aims to create a collaborative platform for efficient transport coordination. The DMP outlines how data will be managed throughout the project. The DMP explains how data will be collected, handled, and stored in ReMuNet. It details procedures for processing data to ensure it is accurate, reliable, and useful. It also sets up security measures to protect sensitive information.

This deliverable outlines the strategy to promote the project’s vision and findings to various stakeholders at local, national, and international levels. The goal is to build a strong community with both online and offline activities, enhance awareness, fulfill contractual commitments, and ensure project success.

ReMuNet project introduces its management, quality, and risk handbook, the first output from work package 7. Led by FIR, WP7 oversees daily operations, ensuring effective coordination, communication, quality assurance, risk management, and gender equality. The handbook is a comprehensive guide to ReMuNet’s internal processes, detailing project governance, consortium bodies, quality management, and risk mitigation strategies. The primary objective is to secure project goals by adhering to timelines, maintaining high quality, and efficiently utilizing allocated resources. This document serves as a crucial tool for the ReMuNet consortium, providing methods and protocols for day-to-day project management and execution.

This deliverable outlines the ReMuNet project’s Quality Management and Risk Registry, documenting risks identified in the first year, mitigation measures, and their impacts. It supports effective project management and goal realisation by addressing potential risks with coordinated strategies. Updated annually, it ensures ongoing risk assessment and quality assurance, providing a shared framework for daily project operations.