Seeking collaboration on AI-Driven Intelligent Urban Rail Transportation Solutions

We are seeking collaboration with universities, research institutes, technology companies, and transportation authorities to develop an AI-enhanced intelligent urban rail system.

Our vision is to leverage artificial intelligence, IoT, and advanced analytics to improve the efficiency, safety, and user experience of urban rail transport.

Key Areas of Collaboration:

Predictive maintenance for rolling stock and infrastructure using AI-powered anomaly detection.

Traffic and schedule optimization to reduce congestion and improve punctuality.

Energy efficiency strategies, including regenerative braking optimization and smart energy management.

Passenger flow analysis using computer vision and real-time data to improve station design and operations.

Integration with multimodal urban transport, enabling seamless mobility between rail, buses, bikes, and pedestrian routes.

Safety enhancements such as AI-based monitoring for hazard detection on tracks and in stations.

AI and software development teams with experience in real-time systems.

Transportation infrastructure companies and city transport authorities.

Academic researchers in transportation engineering, robotics, and urban planning.

If you are interested in reshaping the future of sustainable urban mobility, we would be happy to discuss possible cooperation and joint research.