The overall aim of this specific Automated Rail Cargo Consortium (ARCC) project is to carry out an initial phase of rail freight automation research activities in order to boost levels of quality, efficiency and cost effectiveness in rail freight operations of the European railway sector.
The various start-up activities for freight automation have the potential to help tackle the challenges relating to key issues and operational bottlenecks, which will help to reduce lead time, increase reliability and improve the cost-effectiveness of the rail freight sector. Improving the connections between different nodes (e.g. terminals, yards and transhipment points) and improving information flows transferred between different nodes in real-time and network management systems and supporting eco-efficient and energy-efficient driving are key parts of the project activities.
WP1 - Automated Train OperationWork package 1 Automated Train Operation (ATO) aims for a functional demonstrator of Automated Train Operation in a relevant rail cargo environment (TRL 5) in order to gather first practical experience with automated driving of freight trains. Concrete objectives of the tasks proposed in ARCC work package 1 are:
The definition of freight-specific use cases and operational requirements under GoA2+ including automated brake testing and safety-relevant fall-back Levels
The specification of required functionalities for automated driving under GoA 2+ including requirements for interoperability and on how to reach the most energy-efficient realization of the operational timetable
Development of the surround sensor module for integration in the rail freight demonstrator and interfacing of the sensor solutions with the testing locomotive for experimental proof of concept
The practical testing of relevant refit technology modules interfacing with a freight locomotive driven by an auto pilot protected by a train guard system
Research on interfaces between the individual modules to ensure interoperability and system compatibility
Research on interfaces between the individual modules to ensure interoperability and system compatibility
The TRL5 demonstration of automated driving of a typically long and heavy freight train using pneumatic brake system of conventional freight wagons
The development of a ideas for a development phase 2 in order to optimize the tested ATO solution that leads to a supervised, punctual and low-energy driving style
Seeking synergies in the topic of obstacle detection with SMART project.WP2 - Real-time Yard ManagementThe activities in WP2 will focus on the (single) wagon load and intermodal rail freight segment and on nodes (represented through marshalling yards and terminals), which are essential subsystems for the rail freight business.
The objectives and the tasks of WP2 fit with the description, given in chapter 5.5.3: TD 5.2 Access and operation of the Shift2Rail Multi Annual Action Plan and the related FR8RAIL and ARCC projects - taking into account the agreed budget.
This leads to the following list of detailed objectives for the start-up activities in this work package:
Acquiring a common understanding of operations and decision-making processes in the nodes;
Establishing stakeholder needs and restrictions for building up real-time systems, defining the target system for punctual fulfilment of the requirements for real-time scheduling, tracking and control to optimise yard operations;
Analysing best practices for using simulation and optimisation systems for the automation of decision processes and defining requirements for a real-time simulation system for yards;
Defining a demonstrator for Real-Time Yard Management in line with the advanced simulation approach which will be provided in the SMART project.WP3 - Improved methods for timetable planningThe objectives of WP3 are:
To study the effects of faster and more flexible train paths for freight trains;
Better capacity utilisation and improved on-time performance;
Improvements at the practical level and in implementation.
The pre-study should develop a plan for the main work from 2018 until 2021.
WP4 - ManagementWP5 - Dissemination
This flyer gives a compact overview of the ARCC project with its scope, goals and partners.
Paper from "Proceedings of 8th Transport Research Arena TRA 2020"
European rail freight operator DB Cargo together with locomotive manufacturer Bombardier and ETCS supplier Siemens are realizing the most comprehensive testing of state-of-the-art autopilots from a range of industry suppliers on a legacy freight locomotive. For the Shift2Rail joint undertaking this collaboration project marks a key milestone by promoting standardized on-board solutions for automated driving, quick wins in the field of freight transport and a shift of freight to rail on the European mainline. The project is outstanding in many regards: It will provide critical results for definition of future standardized and open interfaces, the future mode of rail freight automation and performance-based migration planning. One of the key success factors is the outstanding collaborative set-up, which also encompasses full testing of ATO (Automatic Train Operation) modules within the Swiss Smart Rail 4.0 initiative..
In ARCC project work package 3, research and innovation activities have been done to identify areas with a need for improved timetable planning methods and outline how new methods can be developed and implemented.
Improved timetable planning scope were described and there was an activity to connect to other relevant Shift2Rail projects. An workshop was organised in Stockholm 2018-05-29.
State of the art in practice was described for timetable planning in Sweden, UIC 406 method and Ansaldo STS Traffic management systems. Also state of the art in algorithms was described.
Future work plan research needs areas are:
1. Understanding of various goals for timetabling and how they co-variate
2. Residual capacity
3. Connection and coordination of the planning processes
4. Connection and coordination of the yard/terminal planning and network planning
5. Integration of freight trains into the timetable, focusing on short-term and ad-hoc
6. Integration of maintenance scheduling and timetabling, at all planning stages
7. Improved decision support for handeling of deviations from timetable in operations
8. Features of planning tools, and implementation of automatized timetabling
Review comments were received in February 2020.
In chapter 2.4 relevant Shift2Rail projects for improved interaction yard and networkmanagement and their input is described.
In chapter 2.5 text is written about progress for IP5 TD 2 yard and network management.
In chapter 6.2 text is written about the practical results. A concept for yard and networkmanagement is developed. This concept is now introduced in Malmö yard and demonstration will be made in FR8Rail III. The two main stakeholders are Trafikverket and Green Cargo.
of decision-making processes in marshalling yards and terminals
the interactions/interfaces with a Real-time Yard Management System
timetable planning including state-of-the-art and future work plan
Paper from "Proceedings: 14th International Conference on Advanced Systems in Public Transport and TransitData, 2018"
We present an algorithm to insert a train path in an existing railway timetable close to operation, when we want to aﬀect the existing (passenger) traﬃc as little as possible. Thus, we consider all other trains as ﬁxed, and aim for a resulting train path that maximizes the bottleneck robustness. Our algorithm is based on a graph formulation of the problem and uses a variant of Dijkstra’s algorithm. We present an extensive experimental evaluation of our algorithm for the Swedish railway stretch from Malm¨o to Hallsberg. Moreover, we analyze the size of our constructed graph.
following Specification of surround sensor solution under GoA2+
of concept, Preparation of a testing plan including resources and infrastructure measures
specified testing scenarios, proposal of next steps
Paper from "Proceedings 7th Transport Research Arena TRA 2018"
The Shift2Rail pillar “Technologies for attractive and sustainable European Freight” (IP5) has a clear target vision, which can be summarized in two words: Digitization & Automation. The IP5 members want to speed up the digital transformation and automation of rail freight to ultimately gain market share in the competitive race with other modes of transport. In order to advance automation, multiple projects have been launched under funding. Two key technology demonstrators are presented in this paper:
1. Semi-Automated Operation with Distributed Power Systems (DPS) for efficient Master-Slave Operation, e.g. push-pull operation or in long and heavy trains up to 1,500 m
2. Automatic Train Operation (ATO) with Obstacle Detection (OD) on network sections with European Train Control System (ETCS) from Level 2 upwards
Paper from Journal of Rail Transport Planning & Management Volume 7, Issue 3, December 2017 157-170
This paper considers multi-stage train formation with mixed usage tracks at a marshalling yard without departure yard. A novel integer programming model for scheduling shunting tasksaswellasallocatingarrivalyardandclassiﬁcationbowltracksispresented. Bytaking a comprehensive view of the marshalling yard operations, more effective schedules can be found, and a variety of characteristics can be optimised, including shunting work effort, numberorcostoftracks,and shunting task starttimes.
See full paper here: https://daneshyari.com/article/preview/6752010.pdf
All deliverables, results and publications herewith provided reflects only the author's view and the S2R JU is not responsible for any use that may be made of the information it contains.
See the link
After the successful ATO Freight Demonstrator tests in Switzerland in 2020 a video showing the test drives and summarizing the test results is now published online.
Feel free to watch the videos on Youtube and Vimeo.
The Railway Gazette International published an article about the ARCC project on 22.10.2020. The detailed article talks about the successful freight ATO tests between Sion and Sierre in Switzerland in october of 2020. It explains the goals of the ARCC project and its collaboration with other Shift2Rail projects such aus X2-Rail 3 in the IP2 Signalling Pillar.
Follow the link above to read the whole article.
The ARCC consortium organised a final conference on the 30th of March 2021. This final meeting aimed to present all the results of the project and was opened to anyone interested in participation.
The name of the event was:
"Shift2Rail ATO over ETCS - an Interoperable Journey – from concept to field experience".
The results were presented in different forms. You can find the video of the ATO over ETCS test runs in Switzerland in the attached link below.
After the successful completion of the field tests in Switzerland in 2020 the first results are summarised in form of a flyer. More detailed results will follow in the final event taking place in early 2021. Further information will follow.
Feel free to download the flyer and share it.
In advance of the field tests in Switzerland in April 2020 our partners presented the state-of-play of ARCC at the virtual Transport Research Arena 2020 in Helsinki, Finland.
European rail freight operator DB Cargo together with locomotive manufacturer Bombardier and ETCS supplier Siemens are realizing the most comprehensive testing of state-of-the-art autopilots from a range of industry suppliers on a legacy freight locomotive. For the Shift2Rail joint undertaking this collaboration project marks a key milestone by promoting standardized on-board solutions for automated driving, quick wins in the field of freight transport and a shift of freight to rail on the European mainline. The project is outstanding in many regards: It will provide critical results for definition of future standardized and open interfaces, the future mode of rail freight automation and performance-based migration planning. One of the key success factors is the outstanding collaborative set-up, which also encompasses full testing of ATO (Automatic Train Operation) modules within the Swiss Smart Rail 4.0 initiative.
See our contribution in the conference's proceedings.
This paper considers multi-stage train formation with mixed usage tracks at a marshalling yard without departure yard. A novel integer programming model for scheduling shunting tasks as well as allocating arrival yard tracks and classification bowl tracks is presented. By taking a comprehensive view of the marshalling yard operations, more effective schedules can be found, and a variety of characteristics can be optimised, including shunting work effort, number or cost of tracks, and shunting task start times. Two different objective functions are evaluated: minimising work effort in terms of wagon pull-backs and minimising track costs. A procedure for finding a hot-start solution with few wagon pull-backs is also presented. The proposed model is tested on real data from Sävenäs marshalling yard in Sweden. The results show that the method is able to return an optimal schedule for a planning period of 4 days if the hot-start solution is optimal or the remaining problem is tractable for the heuristics in CPLEX.
In order to send a message to the coordinator,
please fill in this form with your data: