The project aims to create a hybrid twin system for urban traffic management, combining AI, edge cloud computing, and advanced communication networks. The hybrid twin merges virtual traffic simulations with digital twins, incorporating physics-based models and real-time data from infrastructure and vehicle sensors. Key research areas include data analytics and machine learning for real-time control. The traffic management system will be tested and evaluated using computer simulations and the NSF PAWR COSMOS city-scale wireless testbed in West Harlem, providing a realistic environment for system design and evaluation, as well as a platform for local community outreach.



This material is based upon work supported by the National Science Foundation under Grant Number 2038984. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.