SWARCO AI Position Statement
BUSINESS
Our take on Artificial Intelligence.
AI-powered mobility solutions
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.
TESTIMONIAL
"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."
Why is the advancement of AI in Traffic Management important?
Benefits
For road users
For our customers
For us
Technological pilars
INFORMATION
Stability and Security
Data encryption technologies, Secure communication protocols, Standardization, Cyber security Algorithms and Anomaly Detection.
Intelligence and Efficiency
Machine learning, Natural language processing, Computer vision, Predective analytics and Reinforcement.
We act responsibly
MEASURES
- Human Oversight & Ethical AI
- Collaboration
- Data privacy
- Efficiency & Optimization
- Safety & Reliability
- Sustainability
Digital Twins
POSITION STATEMENT
A Digital Twin of a mobility system relies on a continuous real-time data feed into the system. This data is extrapolated in space to create a complete digital replica of the road network that allows cities to monitor traffic without blind spots. Beyond operational benefits such as improving traffic flow or incident response, this technology empowers cities towards a truly holistic mobility management by maximizing the value of real-time data and intelligent infrastructure.