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2024 (English)Report (Other academic)
Abstract [en]
The Seamless Freight cluster is part of the TRANS4M-R project and the Europe’s Rail initiative. It aims to deliver an essential contribution towards the modernization, digitalization and harmonization of multimodal rail freight. By addressing various technical enablers identified in the MAWP, Seamless Freight bridges the gaps between actors, countries, systems, processes and transport modes. Against this background, this Deliverable is the main output of the specification phase and includes the relevant requirements, both functional and non-functional, the main use-cases and use-case environments as well as a description of relevant systems, data types, processes and challenges. These specifications build on the basic requirements identified in the scope of the Deliverables D25.2 and D25.3. The contents of this deliverable are the result of an extensive and iterative process, involving relevant stakeholder groups (IMs, RUs, TOs, YOs, CTOs and shippers) that are all part of the TRANS4M-R team. The specifications are structured according to the different work packages, in which the solutions, that are necessary to fulfil the objectives of Seamless Freight, will be developed. True seamless planning must result in perfectly consistent planning and allowing for smooth transition and continuity for all actors involved along the entire transport chain as well as all assets required for operating the railway system. Seamless planning therefore encompasses all planning horizons (e.g. long- and short-term as well as real-time), all planning environments (e.g. yards, terminals and all connecting infrastructure) and involves a variety of complex planning systems and processes. All these aspects feed the derivation of requirements for planning systems and their interfaces, with additional consideration of the interconnection to dispatching and keeping the information on line and network capacity updated for all actors, in order to achieve true seamless planning. Dynamic Dispatching has focussed on the constraints of today, that hinder optimized processes due to lack of real-time information. An intensive exchange with end customers and stakeholders has led to several use cases which shall at an international level prove that harmonization and the dynamic adaption of tasks due to real-time information will lead to higher efficiency and maximizing the use of existing infrastructure. Intermodal Prediction Systems, forecasting both the ETA and the ETD for pre-defined milestones by using advanced machine-learning models, enhance the transparency and reliability of rail freight. The systems use various TAF TSI and EDIGES message types as basis input. Its quality is evaluated using pre-defined TAF TSI KPIs. Main applications for the prediction values are the optimisation of terminal and yard processes as well as the assignment and planning of rolling stock utilization (Asset Warehouse). The concept of Standardised European Railway Checkpoints is a further development of the previous work carried out in Shift2Rail and the concept of “Intelligent Video Gates” (IVG). The main objective was thus a further development of the previous work. Moreover, in FP3 Checkpoints are also developed but at main lines for both freight and passenger trains. Hence, one main aim was to give a clear and through background description, including existing similar systems that the IMs in T25.4 currently possess. Process descriptions were carried out for three types of operational stops for freight trains; intermodal terminals, marshalling yards and borders. Opportunities for improving these processes though the use of Checkpoints as well as a vast set of use cases were identified. Functional and non-requirements were developed. Based on the process analysis and the defined requirements, technical specifications were outlined for detection technologies and for data sharing. Albeit technical standardisation has been addressed, further work is needed to be carried jointly between the System Pillar sub-project Harmonized European Railway Diagnostics (Herd), FP5 T25.4/WP29 and FP3 WP7. Thus, the specifications outlined in this report will be the basis for a standardised development and installation of Checkpoints within WP29. Multimodal Integration has focussed on the constraints of today, that hinders simple bookings of freight on rail. Three primary reasons have been identified that will be tackled by use cases. The time-consuming process of finding existing freight train services, the complexity to book services if more than one primary supplying company is involved and the difficulty to establish new services where today’s offering is not yet matching the market demand. All shall demonstrate that harmonized and standardized process and data exchange will lead to higher usage of existing infrastructure due to lowering entry barriers. All this requires a high degree of collaboration between the involved actors both within and often across national borders. Today, there is a call for better synchronisation within and between transport practices. Big hopes are being placed on digitalisation as an enabler and means for integrated and sustainable performance along the multi-modal supply chain. The primary objective for enabling data exchange is to provide a framework that allows a seamless and harmonised exchange of data. This framework aims to facilitate an increased data availability and quality by reducing technical and administrative barriers for the generation and exchange of data in the project. This framework will be built on existing developments rather than introducing new elements.
Place, publisher, year, edition, pages
European Union, 2024. p. 393
Keywords
Rail Freight, Seamless Freight, Europe’s Rail, Seamless Planning, Dynamic Dispatching, Intermodal Prediction Systems, Standardised European Railway Checkpoints, Intelligent Video Gates (IVG), Multimodal Integration, Seamless Data Exchange
National Category
Civil Engineering
Identifiers
urn:nbn:se:ri:diva-76345 (URN)
2025-01-132025-01-132025-01-13Bibliographically approved