Nicolas D., Marques R.J., Feltus C.
Proceedings of SPIE the International Society for Optical Engineering, vol. 13969, art. no. 139690Q, 2025
As urban centers adopt smart mobility solutions to address congestion, emissions, and transport efficiency, seamless integration among services like ride-sharing, public transport tracking, EV infrastructure, and autonomous systems becomes critical. Current approaches are often rigid and monolithic, limiting scalability and real-time responsiveness. Digital twins offer a promising framework, but existing implementations are constrained by tight coupling and low modularity. This paper presents a microservices-based digital twin architecture for flexible, scalable, and real-time integration of heterogeneous mobility services. By decoupling functionalities into independently deployable services within a unified city-wide model, the architecture enables dynamic updates, fast iteration, and robust interoperability. Simulations are embedded within scenarios and sub-scenarios, supporting modular, workflow-driven orchestration and structured integration of simulation services, adaptable to evolving urban dynamics and decision-making needs. A case study validates the approach, demonstrating its ability to overcome monolithic system limitations and foster agile, resilient smart mobility ecosystems.
