ARMS, AI Roadway Infrastructure Management System

Three questions to the project team

What was the particular challenge of the project from a UX point of view?
This project proved challenging. We aimed to simplify complex data for diverse users, ensuring real world functionality in urban settings. City administrators, planners, and maintenance staff each had unique needs. To address this, we developed an AI assistant. It answers operational questions, highlights urgent issues, and enables quick action. The interface uses clear visual storytelling through maps, charts, and dashboards for easy understanding of system status and energy trends. For field personnel, we prioritized ease of maintenance with tool free modular parts, quick release connectors, and ergonomic access features. Balancing digital clarity with on site usability was key to creating a system that is both intelligent and practical.

What was your personal highlight in the development process? Was there an aha!-moment, was there a low point?
A key milestone was integrating the AI assistant with the real time monitoring platform. This showed the system could process complex data and deliver clear insights for diverse users, improving efficiency and decision making. During hardware testing, we found the initial modular design needed improvements for tool free access and safer maintenance. Software and hardware teams collaborated closely to address this. Our smart streetlights have been deployed in various cities, including 500 units with MDOT and Hinds Rankin Counties, 155 units in Syracuse, New York, and 570 units in Hualien, Taiwan. These deployments confirmed the system’s reliability and guided further improvements.

Where do you see yourself and the project in the next five years?
In the next five years, this project will grow into a fully integrated urban infrastructure platform. The AI assistant will become more proactive, predicting issues and optimizing energy use. User interfaces will simplify complex data, making it easier for more city staff and stakeholders to use. We expect greater interoperability with other smart city systems, creating a seamless ecosystem. Our focus remains on improving usability, accessibility, and sustainability for smarter and safer cities. The team plans to deepen its UX expertise in complex systems and lead cross disciplinary collaboration to ensure solutions stay relevant and adaptable to future technologies.