The HAL4SDV proposal aligns with the EU Strategic Research and Innovation Agenda 2022 on Electronic Components and Systems. It aims to pioneer methods, technologies, and processes for series vehicle development beyond 2030, driven by anticipated advancements in microelectronics, communication technology, software engineering, and AI. HAL4SDV envisions a future where vehicles are fully integrated into smart cities, intelligent highways, and cyberspace, blurring the lines between inside and outside the vehicle. Assumptions include data-centricity, code portability, efficient data fusion, unlimited scalability, real-time capabilities, and robust cybersecurity. The objectives encompass unifying software interfaces, creating a hardware abstraction framework, enabling Over-The-Air (OTA) updates, designing platform architectures, ensuring hardware abstraction and virtualization, offering hardware support, automating integration, supporting safety features, harnessing edge computing, implementing security measures, and providing essential development tools. By focusing on these objectives, HAL4SDV aims to establish a unified ecosystem for software-defined vehicles, positioning Europe's automotive industry for continued leadership post-2030 while leveraging existing results and technologies to accelerate progress.

The Systems ITD will develop and build highly integrated, high TRL demonstrators in major areas such as power management, cockpit, wing, landing gear, to address the needs of future generation aircraft in terms of maturation, demonstration and Innovation. Integrated Cockpit Environment for New Functions & Operations - D1: Extended Cockpit - D24: Enhanced vision and awareness - D25: Integrated Modular Communications Innovative Cabin and Cargo technologies - D2: Equipment and systems for Cabin & Cargo applications Innovative and Integrated Electrical Wing Architecture and Components - D3: Smart Integrated Wing Demonstrator - D4: Innovative Electrical Wing Demonstrator Innovative Technologies and Optimized Architecture for Landing Gears - D5: Advanced Landing Gears Systems - D6: Electrical Nose Landing Gear System - D7: Electrical Rotorcraft Landing Gear System - D17: Advanced Landing Gear Sensing & Monitoring System High Power Electrical Generation and Conversion Architecture - D8.1: Innovative Power Generation and Conversion for large A/C - D8.2: Innovative Power Generation and Conversion for small A/C Innovative Energy Management Systems Architectures - D9: Innovative Electrical and Control/Command Networks for distribution systems - D10: HVDC Electrical Power Network Demonstrator Innovative Technologies for Environmental Control System - D11: Next Generation EECS for Large A/C - D12: Next Generation EECS Demonstrator for Regional A/C - D13: Next Generation Cooling systems Demonstrators - D16: Thermal Management demonstration on AVANT test rig Ice protection demonstration - D14: Advanced Electro-thermal Wing Ice Protection Demonstrator - D15: Ice Detection System Small Air Transport (SAT) Innovative Systems Solutions - D18, D19, D21: More Electric Aircraft level 0 - D20: Low power de-ice for SAT - D22: Safe and Comfortable Cabin - D23: Affordable future avionic solution for small aircraft ECO Design T2: Production Lifecycle Optimisation Long-term Technologies T1: Power Electronics T3: Modelling and Simulation Tools for System Integration on Aircraft

SAFE4RAIL will provide the baseline for a fundamentally simplified embedded computing and networked TCMS platform, for modular integration and certification of all safety-, time- and mission-critical train functions, including distributed hard real-time controls, safety signals and functions up to SIL4. The generic embedded platform architecture provided by SAFE4RAIL will allow mixed-criticality integration and virtualization to host critical and non-critical functions on reconfigurable computing and networking resources. The SAFE4RAIL simulation and testing environment is based on the hardware abstraction and domain separation concepts allowing rapid deployment and testing of applications, e.g. by supporting early functional integration testing long before vehicle integration. The results of SAFE4RAIL are demonstrated with a SIL4 brake-by-wire system safety concept. Finally, the project will provide recommendations for standardization and certification of next generation TCMS embedded platform. SAFE4RAIL reduces TCMS system lifecycle and operating costs and minimizes time-to-market by: (1) minimized physical complexity: reduced weight, wiring, connector and computer count, increased part commonality, reliability and availability (2) supporting streamlined approaches to verification/testing, validation, reuse, and (re)certification (3) incorporating reconfiguration and modular certification to reduce system integration and recommissioning costs. SAFE4RAIL results will encourage interoperability, efficient, safe and secure interconnection of technical solutions among European railway providers, boosting the worldwide competitiveness and preserving the global leadership of the European transport industry. SAFE4RAIL is driven by a European cross-industry consortium of 11 academic and industrial partners (including 4 SMEs), with experts from automotive, aerospace, railway to ensure synergies with existing and developing architectural concepts and technologies.

We are at the beginning of a new industrial revolution (Industry 4.0): disruptive technologies such as cyber-physical systems, machine-to-machine communication, Big Data and machine learning, and human-robot collaboration will transform the manufacturing and industrial automation sectors. However, Industry 4.0 will only become a reality through the convergence of Operational and Information Technologies (OT & IT). The European Parliament, says that “a very wide range of skills is required for [Industry 4.0] implementation. […] the convergence of IT, manufacturing, automation technology and software requires the development of a fundamentally new approach to training IT experts.” The FORA interdisciplinary, international, intersectoral network will train the next generation of researchers to lead this convergence and cross the IT-OT gap. The convergence will be achieved through the new concept of Fog Computing, which is a logical extension from Cloud Computing towards the edge of the network (where machines are located), enabling applications that demand guarantees in safety, security, and real-time behavior. Research objectives focus on: a reference system architecture for Fog Computing; resource management mechanisms and middleware for deploying mixed-criticality applications in the Fog; safety and security assurance; service-oriented application modeling and real-time machine learning. Our ambitious objectives require individuals with a unique combination of interdisciplinary and intersectoral skills. Thus, FORA’s 15 ESRs will receive integrated training across key areas (computer science, electrical engineering, control engineering, industrial automation, applied mathematics and data science) necessary to fully realize the potential of Fog Computing for Industry 4.0 and will move between academic and industrial environments to promote interdisciplinary and intersectoral learning.