SWARCO AI Position Statement

SWARCO integrates AI into its systems to push the boundaries of technology, tackling both present and future challenges in traffic management. By responsibly applying AI, we focus on lightweight yet high-impact solutions, ensuring the added value justifies the resources utilized. Through AI-driven approaches - such as reinforcement learning and predictive analytics - we can refine descriptive modeling, optimize predictive maintenance, improve monitoring, enhance traffic forecasting, and enable smarter, data-driven decision-making. Furthermore, AI plays a key role in efficiently building digital twins of infrastructure, paving the way for more intelligent and adaptive mobility solutions. All these elements are ultimately aimed at our goal of en-suring seamless and efficient movement of people and goods, thereby contributing to strategic objectives such as Vision Zero and Net-Zero emissions.

With livability and sustainability as core priorities, SWARCO’s AI-powered solutions optimize traffic flows while maintaining balance across the multi-modal road network. Urbanization demands smarter, more responsive systems, and our approach provides tailored solutions for a sustainable future in cities worldwide. Beyond traffic management, SWARCO is also leveraging AI internally - streamlining workflows with large language models for code generation and automating administrative tasks to improve efficiency across the board.

Why is AI relevant?

For road users

Improving everyday travel experiences, reducing delays, and enhancing safety on the roads
Prioritize vulnerable road users, benefit from smarter systems that prioritize their needs
Optimize traffic flows for cleaner air and reduced noise pollution

For customers

Actionable insights in real-time, enabling informed decisions for more effective network management
Achieve sustainability and safety goals
Facilitate maximum output with shrinking budgets

For us

Optimize strategic and operational processes
Enabling delivery of cutting-edge traffic management solutions
Enabling data-driven decision-making

Megatrend

The rise of Automated and Connected Multimodal Road Networs

AI and machine learning expertise

We must invest in AI and data science to remain competitive, offering cutting-edge traffic prediction, congestion management,
and safety systems.

Interoperability standards

Designing systems that seamlessly integrate with other technologies — such as automated vehicles, smart grids, and multimodal platforms — will be a critical focus, driving integration and collaboration.

Digital twins and simulation

Demand for advanced simulation tools will grow, allowing companies to test traffic scenarios and plan infrastructure changes in virtual environments.

"We are committed to embracing and exploring AI technologies with a clear vision: To utilize them as a means to an end.
With that end being a traffic and transport industry that is not only more efficient and safer for all users, but also more responsive to the environmental challenges such as urban growth and global warming."
Michael Schuch, CEO SWARCO Group