TEMPOCOM is a Digital Twin developed by BRAIN to optimize railway transport management.
The objective is to identify and mitigate network capacity losses to enhance the robustness and flexibility of the railway network.
In collaboration with key railway stakeholders, the project analyzes the root causes of disruptions and proposes optimization strategies to improve resilience.
Digitize the management of railway infrastructure using state-of-the-art algorithmic tools to consistently provide the best solutions to network operators.
TEMPOCOM focuses on cutting-edge optimization in terms of:
- 🕒 Performance (delay reduction, capacity increase)
- 💰 Cost-efficiency
- 🌍 Environmental sustainability
Leveraging advanced machine learning and predictive modeling, the system uncovers root causes behind issues such as:
- Technical failures
- Network congestion
- Adverse weather conditions
Explore scenario-based simulations to assess the impact of operational decisions, allowing operators to:
- Experiment with alternative strategies
- Anticipate and mitigate future disruptions
Simulation results feed into a powerful optimization engine that provides:
- Actionable recommendations
- Improved flow for passenger and freight operations
- Long-term strategic planning tools
Play with different labs featuring railway use cases.
