RAIL & DIGITAL MOBILITY USER CONFERENCE

September 18 – 20, 2019

Workstreams

1
Traffic & Signalling Management

Cloud / Cluster based train control technologies

  • Global architecture; difference between cloud and cluster
  • Expected benefits of Cluster-based train control (I will use train control a bit wider, even the control of the protected train patch – route could be interpreted as indirect train control)
  • State of the art; where are we  (railways and other sectors) today
  • Technical implications (Cyber security, telecom, standardisation initiatives)
  • Business impact; roles & responsibilities; value chain; different licensing models with pros & cons;  
  • Elements we could use to substantiate a bit the approach: TransVital; Sentinel; MAaaS
2
Traffic & Signalling Management

Demand responsive transport - future for regional railways?

As a passenger:
Imagine you can vote every day at what timeslot you want to go by train, with a cool-app on your phone. Would you like this service? 

Questions:

  • What kind of cool-app would be accepted for planning?  Is this really an alternative to the car?
  • What would be the passenger requirements for such a system? 
  • What demand decisions would a passenger accept? What if trains are canceled?
  • What is the consequence for traveling if there is no more fixed timetable?

As an operator:
Imagine to be a regional operator for public transport in a low populated region. Your passengers can request individual departure times for trains with a cool demand-planning tool.
No more empty trains will drive on your tracks! How would you operate this service? What do you need for this?

Questions:

  • What savings have to be achieved to get a reliable business case?
  • What techniques are required for planning?
  • What techniques are required for operating like this?
  • What technical help would you expect from your suppliers for this?
    3
    Intelligent Network & Infrastructure

    The path to alternative positioning methods

    4
    Intelligent Network & Infrastructure

    Sensors – potential applications and their safety-related classification

    5
    Communications Technology

    Digital mobile communication technologies for mobility

    Modern mobility concepts will be based on data exchange between the different objects participating in the mobility (cars, trains, public transportation, users, surrounding environment). This data exchange uses cellular and satellite communication techniques (GSM, UMTS, LTE) as well as short range communications (LTE-V, IEEE 802.11p, Wifi, Bluetooth). Future technologies as 5G will enable new uses cases and are able to play a key role in mobility. This work stream will compile an overview of technologies, testbeds and projects and lays the base of a holistic concept of communication technologies for mobility.

    6
    Intelligent End to End Processes

    Digitization and Human-Machine-Interaction systems – in the arc of tension from misconception to successful intuitive approaches

    Digital technologies like virtual, augmented and assisted reality, head-mounted-displays, smartphones and other devices create new possibilities for Human-Machine-Interfaces (HMI). In the field of railway and mobility, such new HMIs might be useful for passengers, train drivers, control center and maintenance staff. Attendees of the work-stream will discuss current needs, desires and frustration of these user groups. Subsequently, concepts for solutions will be developed and ideas for further R&D at the Smart Rail Connectivity Campus will be suggested.

    7
    Ethical and Legal Questions

    Legal questions of automated driving: Data sovereignty and data access

    The data and the access to them will become more and more important in an ICT-based, automated and networked mobility. The aim of the workshop would be to determine what data needs exist for the various participants in the network and how the participants currently gain access to the needed data. In addition, it will be worked out whether further legal or contractual regulations concerning data access are necessary in order to implement new business models and offer product-related services in autonomous driving.

    8
    Operational Business Processes, Organisation

    Economic questions of automated driving

    The economic profitability/feasibility is a prerequisite for successful innovations creating automated driving systems. In this context, the following questions will be discussed:

    • What are the economic benefits/potentials and cost of automated driving systems?
    • How can automated driving systems be evaluated especially in their design phases and with regard to the perspectives of different relevant stakeholders such as customers, operators, government?
    • What are barriers hindering successful innovations towards automated driving systems? How can these barriers be managed?
    • Since automated driving systems should contribute to ecological and social sustainability as well: What are the potentials and "cost" with respect to ecological and social sustainability and how can these be measured?
    9
    Intelligent: Network, Train, Facilities, Assets & Infrastructure

    Smart Intelligent Field Elements IoT

    Highlights will be:

    • Bring intelligence to the Field Elements in order to replace copper cable by comms cable or wireless, simplify supervision and enhance diagnosis capabilities
    • Main threats: keep availability at the highest level; cost effective solution; cyber security
    • Challenge: Address low power consumption to enable autonomous power (no cables)
    • Challenge: to standardize interfaces; separation between vital & non vital processing and interfacing
    • Value chain analysis – benefits for different stakeholders
    10
    Operational Business Processes, Organisation

    The role of Services in the context of digitalization / Digitalized Asset Management

    We will discuss how we can improve asset management by leveraging digitalization. In addition, we will discuss the role of services and how services can support Asset Manager with new value added services enabled by digitalization, e.g. health status monitoring, automated end of life prediction for components, performance monitoring (e.g. availability rate, usage profiles), risk management etc.

    Key questions:

    • How can we improve asset management for rail infrastructure?
    • Which tools are needed?
    • How can we integrate different systems, data sources etc. in order to gain insights and transparency on asset performance and risks?
    • How can we standardize processes and tool across manufacturers and operators?
    • How can we leverage artificial intelligence, big data analytics, cloud-based solutions etc.?
    11
    Communications Technology

    Connectivity, Last-Mile as the foundation for data analytics

    Develop solutions how can we connect field elements as well as interlockings and operation control systems in order to get data which we can use for e.g. remote monitoring, diagnosis and predictive maintenance

    12
    Operational Business Processes, Organisation

    Data services – from monitoring to diagnosis and prediction

    Identify and implement use cases for data analytics in the area of:

    • condition monitoring
    • remote trouble shooting support / diagnosis
    • prediction of failures
    13
    Intelligent End to End Processes

    Drone management use cases

    Drones now offer a wide range of industrial applications. The development in the evaluation and processing of the generated data is developing rapidly. We want to give you an insight into the developments and applications in the railway sector in our workstream. Join us on an exciting journey around drones.

    14
    Intelligent: Network, Train, Facilities, Assets & Infrastructure

    Intelligent Field elements – Lite4ce™ / RioT / IoT

    15
    Traffic & Signalling Management

    Reference CCS Architecture (RCA)

    16
    Intelligent: Network, Train, Facilities, Assets & Infrastructure

    Autonomous Vehicle

    17
    Communications Technology

    5G end to end connectivity for operational and passenger use cases

    Demonstrate the benefits for end-users and verticals / enterprises of 5G end-to-end connectivity as well as slicing in the context of digital rail & car transportation 5G Access networks, as successors to lte/4g mobile cellular networks are aimed at introducing several disruptions:

    • TECHNICAL: Integration of multiple radio access technologies (satellite, terrestrial), virtualisation
    • PERFORMANCE: Capacity, data rates 
    • BUSINESS MODELS: End-to-end service commitments, etc
    18
    19
    Intelligent End to End Processes

    Future TMS - platform based end-2-end connectivity with full network view and control

    20
    Intelligent End to End Processes

    Big Data and data management in the rail mobility context – what are the opportunities

    Data is the new currency of our century. It is already indispensable and invaluable for some sectors of the economy and is also beginning to play a greater role for the railways.

    In this work stream, we will take up in particular the literally popular subarea of Open Data. Its value was estimated at no less than 43 billion Euros. Enriching organizational data with such data can generate innovative use cases and new insights. On the other side, organizations start to share internal data with external stakeholders and the public – aiming at various benefits. Combining both perspectives leads to concepts such as data marketplaces or data ecosystems, which are also enabled by new big data technologies and methods. We will discuss the following questions:

    • How can we raise this treasure in the railway sector?
    • For which applications and stakeholders using and/or sharing open data would generate value and how could it be realized?
    • What new use cases or even business models can be created by such approaches?

    We will define a pilot project with your help and experience.

    21
    Intelligent: Network, Train, Facilities, Assets & Infrastructure

    Safety and CyberSecurity two worlds

    22
    Operational Business Processes, Organisation

    How to test self-configuring CCS-systems

    23
    Intelligent: Network, Train, Facilities, Assets & Infrastructure

    EULYNX system architecture

    24
    Traffic & Signalling Management

    Onboard ETCS subsystem by using OCORA system architecture

    25
    Intelligent: Network, Train, Facilities, Assets & Infrastructure

    Diagnosis and analysis of sensor data and sensor data fusion

    26
    Operational Business Processes, Organisation

    Mixed reality in education

    27
    Intelligent: Network, Train, Facilities, Assets & Infrastructure

    Automated shunting

    Challenges and suitable solutions for the automation of in-house shunting services
    In our workstream we want to discuss current problems and challenges on automating shunting trips. Especially with the focus on safety aspects as well as technical and operational challenges.

    28
    Traffic & Signalling Management

    Innovative algorithms and concepts for interlockings

    Innovative safety logic as core of the digital safety architecture on the infrastructure side

    With the new "digital" interlocking generation, like in "Annaberg-Buchholz Süd", infrastructure elements such as points and train detection components are no longer directly connected to the safety core with the safety logic. Instead, they are connected via data bus and act autonomously. However, the safety logic itself remains unchanged. The current safety logic in electronic interlockings is based on a limited set of available information. Therefore, it often prevents the optimal usage of infrastructure in terms of minimal occupancy times and highest safe speed profiles. Several functions of new technology like ETCS remain unused because the safety logic in the current interlockings cannot deal with it. In recent years, the availability of data is continuously increasing. For this reason, a new safety logic is a necessary part of a new digital rail safety infrastructure. Currently, there are several research projects focusing on this issue.

    In the work-stream, we would like to discuss the potentials of a new safety logic at the interlocking core on the infrastructure side.

    29
    30
    Operational Business Processes, Organisation

    BIM - Digital Planning of control command and signalling systems

    Problems in planning of signaling facilities today:
    Use of computer systems in all phases - but no data format for exchange
    Transfer of data by means of paper and new input
    Disadvantage: Human failure rate, Time required for takeover, Interpretation of man
    High proportion of routine work - Consumption of planning resources
    High level of necessary redundancies in the paper planning – Ignored modifications lead to inconsistencies

    Objectives of Digital Planning:
    Store planning and inventory data in a database for signaling data
    Assure the quality of planning data and planning processes
    Submit the planning data to the manufacturers in electronic format – Minimizing implementation times
    Leverage as inventory data throughout the entire lifecycle

    31
    Communications Technology

    Onboard situational awareness

    What are the key events and information to be detected on real time and a posteriori onboard trains to ensure the security and safety of passengers of (autonomous) trains and to improve rail operations?

    32
    Communications Technology

    Data driven Operation Center

    What are the key/prioritary KPIs and automated features which are needed by the operators to improve operation efficiency?

    33
    Communications Technology

    Benefits of 5G for evolution towards FRMCS

    Topics of the workstream:

    • 5G key pillars and central use cases like video streaming, ATO, handling 1000s of sensors
    • Application level interworking via IWF; functional addressing with GSM-R and MCPTT, possible centralized SCP solution; P2P call and group call interworking 
    • Network deployment options considering network slicing and interworking with CSPs
    • On-board device architecture options and migration of train control functionality
    34
    Operational Business Processes, Organisation

    Der Beruf des Lokführers im automatisierten Bahnbetrieb – Änderungen, Herausforderungen und Chancen (German)