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  • Putting the ai in trAIns

    Putting the ai in trAIns

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    Putting the AI in trAIns

    At AutoTF, our mission is to revolutionize rail transport safety and efficiency through the use of Artificial Intelligence (AI). Central to our efforts is our AI Control technology. In this post, we want to provide a detailed explanation of how this technology operates and how it allows us to autonomously drive trains safely and efficiently.

    1. The Callstack – An Overview:
      Our AI Control operates in a multi-stage environment structured as follows:
      • Get Inputs: Collect all relevant input data such as speed, position, and external commands.
      • Detect Objects/Signals/Humans: Detection of objects, signals, and people in the vicinity of the train.
      • Calculate Train Control Based on Inputs: Calculation of control commands based on the gathered data.
      • Send Data to Chatbot: Data is sent to a chatbot that considers the human element.
      • Apply Controls: Application of the control commands to the train’s systems.
      • Invoke Third Party Controls: Integration of external control systems when necessary.
    2. Integration of AI Feedback Loops:
      A significant challenge in autonomous train operation is implementing instructions from train dispatchers effectively. Our solution is unique: we not only manually calculate the required actions but also have them reviewed by our AI. This ensures that even unexpected human instructions such as speed adjustments are reliably implemented.
    3. Using Data and Formulas:
      Precision in autonomous train control requires accurate data and mathematical formulas. We utilize advanced algorithms to:
      • Calculate braking distances,
      • Adjust acceleration parameters,
      • And dynamically manage speed limits.

      Example calculations are detailed in the post to illustrate the application of these formulas in real scenarios.
    4. The Human Aspect:
      Our technology recognizes the indispensability of human intervention in the system. The chatbot in our setup serves to contextualize human commands and ensure they are considered in real-time.

    Conclusion:
    Our goal at AutoTF is not just to develop technologies that enable trains to drive autonomously but also to ensure that these technologies can be seamlessly integrated into the existing railway system, maintaining the human at the core.

    We believe that combining advanced AI with human oversight is the future of safe and efficient rail travel.

  • Why AutoTF Chooses Not to Use ETCS

    Why AutoTF Chooses Not to Use ETCS

    Why AutoTF Chooses Not to Use ETCS


    In the rapidly evolving world of railway automation, the European Train Control System (ETCS) has emerged as a standard aimed at enhancing cross-border interoperability throughout the European rail network. While ETCS offers numerous advantages, at AutoTF, we have opted for a different path for several strategic reasons.

    1. Independence from External Systems:
    ETCS relies heavily on trackside technology that is not yet universally implemented, particularly in Germany where many areas still operate under older systems. AutoTF’s technology is designed to be independent, allowing for deployment on any train and on any track, regardless of the underlying infrastructure. This approach provides our clients with the flexibility to upgrade their systems without waiting for external upgrades or dependencies.

    2. Faster Implementation and Flexibility:
    One of AutoTF’s core principles is to deliver rapid and flexible solutions to our customers. Relying on ETCS, which requires widespread infrastructure changes that can be slow and costly, does not align with our mission to provide immediate enhancements. Our systems can be implemented quickly and tailored to specific operational needs without being tied to the pace of national infrastructure projects.

    3. Cost-Effectiveness:
    Implementing ETCS can be a significant financial burden for railway operators, involving not only the cost of onboard components but also substantial investments in trackside infrastructure. AutoTF’s solutions bypass these heavy investments, focusing instead on maximizing cost-effectiveness and providing high ROI through innovative, standalone technology.

    4. Preparing for the Future and Enhanced Flexibility:
    While ETCS is a significant step towards standardized railway signaling, AutoTF is looking beyond current standards to the future of fully autonomous rail transport. Our technologies are built to adapt and evolve independently, ensuring that our clients are equipped with solutions that lead rather than follow the industry standards. Furthermore, our open system architecture means that integrating ETCS or any other standard into AutoTF’s system could be seamlessly accomplished if required, making AutoTF a smarter choice for operators considering future-proof and versatile solutions.

    Conclusion:
    Choosing not to use ETCS has allowed AutoTF to innovate on our terms and deliver customized, cutting-edge solutions to our clients rapidly and cost-effectively. Our commitment to independence, flexibility, and future readiness ensures that we continue to lead in railway automation, providing systems that are not only effective today but poised to adapt to the needs of tomorrow.

  • Central Bridge

    Central Bridge

    Central Bridge:

    The Heart of AutoTF’s Automation Technology

    The Central Bridge is an integral component of AutoTF’s innovative railway automation solutions, crafted to seamlessly orchestrate and enhance train operations. At its core, the Central Bridge employs a Raspberry Pi 4, striking an optimal balance between budget and performance, making it a robust yet cost-effective choice for railway automation.

    Advanced Integration and Connectivity:
    Built on a Linux platform, the Central Bridge runs AutoTF’s open source software that utilizes an open API to facilitate flawless communication across various train components. It forms the backbone of a dedicated network, managed via a switch that allows the integration of additional devices such as mesh repeaters. This network architecture not only supports unlimited extended meshes—each powered by its own Raspberry Pi—but also enables expansive customization, from adding extra bridges and cameras to extending coverage across the train.

    Designed for Comprehensive Coverage:
    The network hosted by the Central Bridge allows for the direct connection of AutoTF Tablets, enabling staff to interact with the system in real-time. Additionally, the AIC-Base, a critical unit for autonomous control, connects over the switch to communicate and synchronize with the Central Bridge, ensuring a unified operation.

    Security and Offline Capabilities:
    The Central Bridge is designed to function completely offline, enhancing security and reliability, particularly in remote and unserviced areas. For instances where real-time data connectivity is necessary, the system includes an optional SIM card slot, facilitating remote monitoring and management. When trains arrive at stations or depots, the Central Bridge automatically uploads all operational data, maintaining a record and back-up of all activities.

    Autonomous and User-Friendly:
    Upon startup, the Central Bridge operates autonomously, requiring no human intervention to kickstart or manage train operations. This self-sufficient setup ensures that train activities are not only automated but also consistently reliable.

    The Central Bridge embodies AutoTF’s commitment to pushing the boundaries of train automation technology, providing an intelligent, secure, and highly adaptable platform that stands as the cornerstone of modern, efficient, and safe railway systems.