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Advanced Traffic Management And Control Systems

IP Coordinator:Antonella Trombetta - HITACHI RAIL STS

Overview


Topic:
S2R-OC-IP2-02-2019
Total Project Value:
€ 2 249 897,50
Duration:
from 01/12/2019 to 28/02/2023
S2R (Of H2020) co-funding:
€ 1 899 861,25
Coordinator:
Jose Bertolin
UNIFE
Complementary projects:

Objectives

The rationale for the OPTIMA project is closely linked to the high-level goals of the Shift2Rail (S2R) programme, and the Shift2Rail Advanced Traffic Management System represented by the Technical Demonstrator (TD) 2.9 in particular. This strong link is set up due to the scope of the IP2 open call that OPTIMA responds to, which has determined and clearly stated the necessity to step into the overall development of TD 2.9. Therefore, a significant motivation for the OPTIMA project is carrying out its role, contributing to the achievement of the objectives of TD2.9. However, before engaging on any project such as OPTIMA, it is good a practice and beneficial for a better understanding to have a clear vision of the specific rationale and motivation for the project, as well as the state of the art of the context where the project takes place. This way of proceeding will ensure the alignment of the project concept and execution with that vision. The main challenge of the open call which OPTIMA responds to is the “specification and design of a communication platform (Integration Layer) using standardized data structures and processes to manage the Communication/Data exchange between different services/clients and supporting TMS (Traffic Management System) applications connected to other multimodal operational systems”. The current status of the TMS and associated supporting clients/services (including those not yet integrated or interfacing with the TMS), as well as the motivation to integrate interfaces between the core TMS and associated supporting clients/ser-vices through a communication platform is briefly discussed further.

Over the last decades, main Infrastructures Managers (IMs) have deployed Traffic Management Systems which have been used to manage the operation of the railway system (see Figure 1) However, the existing interfaces of the TMS were not developed considering the scalability of the system and were generally limited to the core TMS. Therefore, the integration of new inter-faces with additional rail business and information services will require a duplication of ICT resources and large recur-rent expenditures. Another disadvantage of the current TMS is the lack of standardization in their interfaces which doesn’t allow to be benefited from its advantages such as the interoperability of the system with other similar TMS.

The new Communication platform demonstrator within the Traffic Management Evolution TD 2.9, will overcome all these disadvantages and bring additional benefits to the system throughout the implementation of standardized and scalable data structures and processes to manage current and future interfaces. A system with seamless access to heterogeneous data sources, both internal and external (e.g. environmental information) to the railway ecosystem will improve the ability of nowcast and forecast network asset status, improving the operation of TMS dispatching systems. A TMS integrated with asset status will also reduce traction energy consumption or optimise peak power demand in the entire network. An integrated and standardised TMS system will reduce significantly the equipment and engineering costs during the deployment or replacement processes (e.g. targeting system renewal). This cost reduction will be significant not only due to its integration and standardization but also to the improvement of market competitiveness.

OPTIMA Technical Objectives

  1. Configuration, setup and delivery of HW and SW dedicated to the IL, AF, and Operator workstations, the last two connected to the IL.
  2. Configuration of middleware of Integration Layer
  3. Integration of rail business services and external services
  4. Integration of operator workstations
  5. Integration of Application Frame-work
  6. Derive the data structures directly from the CDM
  7. Configuration one database, including “Geographical”, “Time Table” and “Vehicle” aspects and their relationships, as the persistence layer attached to the Integration Layer
  8. First Level Support for installation, commissioning and testing phase of the prototypes of the S2R X2RAIL2/4 prototypes
  9. Validation of the demonstrator
  10. Validation of the external activities/work package of the complementary projects

Results and Publications

D2.1 Report on technical coordination of the project

Download

D2.3 Report on system architecture

Download

D2.4 Mitigation actions for the first level support

Download

D3.1 Hardware Component Specifications for IL_ AF and Operator Workstations

Download

D3.2 HW_SW delivery of Operator Workstations

Download

D3.3 HW_SW delivery of IL and AF servers

Download

D4.1 Design document

Download

D4.2 Integration Layer API

Download

D4.3. Integration Layer Services

Download

D5.1 Rail Business services software and external services analysis and requirements

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D5.2 Rail Business services software and external services web clients

Download

D5.3 Procedure documentation for Operator Workstation's integration with IL

Download

D5.4 Procedure documentation for Application Framework's integration with IL

Download

D6.1 Data Requirements for CDM definition and Database configuration

Download

D6.2 _CDM online repository_ containing the CDM_ and documentation

Download

D6.3 Report on Data structures and Database definition

Download

D6.4 Database Services (full), and test report

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D6.5 Code and Configuration Generator, including source code, configuration file, and documentation

Download

D6.6 Guidelines and sample code for CDM usage and extension

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D7.1 Test programme for the validation of Integration Layer

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D7.2 Testing and validation of Integration Layer

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D8.3 Dissemination_ communication and exploitation

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Leaflet

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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.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No: 881777