Automated Tunnel Transport Course
About our
The Automated Tunnel Transport Course focuses on the planning, design, implementation, and management of driverless guided transport systems within tunnels, combining technologies such as automation, sensors, communications, and traffic control. It addresses safety, energy efficiency, and integration with existing infrastructure. Case studies are explored, including metro, high-speed trains, and freight transport systems, in addition to considering risk management and applicable regulations. The course provides an in-depth understanding of centralized control systems, obstacle detection, telemetry, and cybersecurity applied to tunnels. It focuses on optimizing operational performance, cost reduction, and user experience. Participants acquire knowledge for roles such as transport systems engineers, infrastructure managers, railway safety specialists, and automation consultants, preparing them for the growing demand in the underground transport sector.
Automated Tunnel Transport Course
- Format: Online
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
380 $
Competencies and results
What you will learn
1. Design and Operation of Automated Transport Systems in Tunnels
- Understand the architecture and key components of automated transportation systems in tunnels.
- Analyze the specific challenges of tunnel design for the integration of automated systems, including ventilation, safety, and signaling.
- Master the principles of automated transportation system operation, from traffic control to emergency management.
- Study the automation technologies employed, such as sensors, actuators, communication systems, and control software.
- Evaluate the safety and efficiency of the systems, including risk identification and the implementation of mitigation measures.
- Learn about the regulations and standards relevant to the design, construction, and operation of automated transportation systems in tunnels.
- Participate in case studies and simulations to apply acquired knowledge to real-world scenarios.
- Explore future trends and innovations in the field of automated transportation in tunnels, such as artificial intelligence and connectivity.
2. Mastery of Automated Tunnel Transport: Design, Implementation and Management
2. Mastery of Automated Tunnel Transport: Design, Implementation, and Management
Fundamental principles of tunnel design for automated transport systems, including geological, structural, and safety considerations.
Methodologies for the selection and evaluation of automated transport technologies, such as magnetic levitation trains, automated guided vehicles (AGVs), and rapid transit systems.
Detailed design of the control and automation systems necessary for the efficient and safe operation of tunnel transport, including hardware, software, and communication protocols.
Practical implementation of traffic management and access control systems in tunnels, using simulation and modeling tools to optimize vehicle flow and safety.
Comprehensive management of tunnel construction and maintenance projects for automated transport, from planning and design to execution and commissioning.
Risk analysis and mitigation strategies to ensure safety in tunnels, including fire detection, ventilation, and emergency evacuation.
Application of relevant international regulations and standards for the design and operation of tunnels for automated transport.
Optimization of energy performance and sustainability in the design and operation of automated transport systems in tunnels.
Case studies of successful automated transport projects in tunnels in different parts of the world.
Development of leadership and management skills for multidisciplinary teams involved in automated transport projects in tunnels.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Expert Implementation of Automated Systems for Tunnel Transport
Here is the requested content:
4. Expert Implementation of Automated Systems for Tunnel Transportation
- Design and optimize the distributed control architecture for traffic management in tunnels, including robust and secure communication protocols.
- Integrate advanced sensors (LIDAR, radar, machine vision) for the accurate detection of vehicles, pedestrians, and obstacles in confined environments.
- Program artificial intelligence and machine learning algorithms for real-time traffic flow prediction, anomaly detection, and route optimization.
- Implement efficient energy management systems, including the use of renewable energy and storage systems, to reduce environmental impact.
- Configure and maintain critical safety systems, such as fire detection, forced ventilation, and evacuation systems, to ensure passenger safety.
- Apply modeling and simulation techniques to evaluate system performance
- Identify bottlenecks and optimize tunnel capacity.
- Manage automated system implementation projects, including budget management, task scheduling, and coordination of multidisciplinary teams.
- Analyze and mitigate risks associated with the operation of automated systems, including cybersecurity, hardware failures, and software errors.
- Understand and apply relevant regulations and standards for the operation of automated systems in tunnels, including safety and environmental standards.
- Develop effective communication skills to interact with stakeholders, including clients, suppliers, and regulatory authorities.
5. Comprehensive Analysis of Automated Transport in Tunnels: From Planning to Execution
- Master the initial phase: strategic planning for the implementation of automated systems in tunnels.
- Evaluate the technical and economic feasibility of automated transport projects in tunnels.
- Delve into the key aspects of tunnel engineering, including structural design and ventilation systems.
- Study the safety protocols and regulations applicable to automated transport in tunnels.
- Explore automation and control technologies, such as sensors, communication systems, and management software.
- Understand the challenges related to integrating automated systems into existing tunnel environments.
- Learn about best practices in managing automated transport projects, including scheduling, budgeting, and quality control.
- Analyze real-world case studies of successful and unsuccessful automated transport projects in tunnels.
- Gain knowledge about the operation and maintenance of automated transport systems. including problem-solving and emergency management.
Develop skills for decision-making in critical situations and risk mitigation in automated tunnel transportation projects.
6. Advanced Strategies in Automated Transport for Tunnels: Efficiency and Safety
- Optimization of route planning and scheduling in automated tunnels.
- Implementation of intelligent traffic management systems to maximize flow.
- Risk analysis and design of advanced safety protocols.
- Integration of incident detection and prevention technologies.
- Application of machine learning algorithms for performance optimization.
- Development of predictive maintenance strategies to minimize downtime.
- Evaluation of energy efficiency and sustainability in automated transport.
- Study of practical cases and simulations of complex scenarios.
6.
Who this program is for:
Automated Tunnel Transport Course
- Engineers with degrees in Civil Engineering, Transportation Engineering, Telecommunications Engineering, or related disciplines.
- Professionals from construction, tunnel operation, infrastructure engineering, and transportation companies.
- Technicians and specialists in areas such as automation, traffic control, tunnel safety, and management systems.
- Personnel from public administrations and regulatory bodies related to the planning and management of transport infrastructure.
Requirements Recommended: Basic knowledge of control systems, communication networks and industrial safety; ES/EN B2. Supplementary material will be provided to level knowledge.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Module 1 — Design and Operation of Automated Tunnels
1.1 Fundamentals of Automated Tunnel Transport: Principles and Concepts
1.2 Conceptual Design of Automated Transport Systems
1.3 Control and Automation System Architecture
1.4 Key Components: Vehicles, Infrastructure, and Sensors
1.5 Operation and Real-Time Monitoring
1.6 Safety and Risk Management in Automated Tunnels
1.7 Route Planning and Traffic Flow Optimization
1.8 Integration with Existing Traffic Management Systems
1.9 Case Studies: Practical Examples of Design and Operation
1.10 Relevant Regulations and Standards for Automated Tunnel Transport
2.2 Fundamental Principles of Automated Tunnel Design
2.2 Planning and Design of Infrastructure for Automated Transport
2.3 Selection and Configuration of Tunnel Control Systems
2.4 Integration of Safety and Security Systems in Tunnels
2.5 Energy Management and Operational Efficiency in Tunnels
2.6 Optimization of Capacity and Traffic Flow
2.7 Implementation of Communication and Monitoring Technologies
2.8 Risk Management and Failure Mitigation
2.9 Industry Standards and Regulations
2.20 Case Studies: Design and Management of Automated Tunnels
3.3 Principles of Route Optimization in Automated Tunnels
3.2 Tunnel Transportation Network Design: Key Considerations
3.3 Modeling and Simulation of Traffic Flows in Tunnels
3.4 Advanced Routing Algorithms for Automated Systems
3.5 Congestion and Bottleneck Management in Tunnels
3.6 Intelligent Control Systems for Route Optimization
3.7 Data Analysis and Real-Time Traffic Prediction
3.8 Integration of Sensors and Communication Technologies in Tunnels
3.9 Performance Evaluation and KPIs for Route Optimization
3.30 Case Studies: Implementation and Improvement of Routes in Automated Tunnels
4.4 Selection of Equipment and Suppliers for Automated Tunnel Systems
4.2 Infrastructure Design for Automated Tunnel Systems
4.3 Integration of Control and Monitoring Systems
4.4 Testing and Commissioning of Automated Tunnel Systems
4.5 Implementation Project Management
4.6 Safety Considerations in Implementation
4.7 Cost Analysis and Return on Investment
4.8 Regulatory and Legal Compliance
4.9 Documentation and Staff Training
4.40 Case Studies: Successful Implementations and Lessons Learned
5.5 Design of Automated Transport Planning in Tunnels
5.5 Risk and Safety Assessment in Execution
5.3 Selection and Adaptation of Technologies for Automated Transport
5.4 Project Management and Cost Control in Tunnels
5.5 Route Planning and Traffic Optimization
5.6 Implementation of Control and Monitoring Systems
5.7 Legal and Regulatory Aspects in Execution
5.8 Testing and Commissioning of Automated Systems
5.9 Quality Management and Change Control
5.50 Case Study: Analysis of Successful Projects and Challenges in Execution
6.6 Design of Safety Systems in Automated Tunnels
6.2 Implementation of Emergency Protocols in Tunnels
6.3 Risk Management and Incident Mitigation in Tunnels
6.4 Traffic Flow Optimization to Maximize Efficiency
6.5 Integration of Advanced Control and Monitoring Systems
6.6 Use of Real-Time Sensors and Detection Technologies
6.7 Emergency Communication and Response Strategies
6.8 Safety Assessment and Continuous Improvement
6.9 Design for Resilience and Adaptation
6.60 Case Studies: Incident Analysis and Lessons Learned
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).