As urbanization accelerates, the rapid growth in traffic demand presents unprecedented challenges to traditional traffic management approaches. This project, leveraging the state key laboratory of smart city internet of things of the University of Macau, addresses key issues such as data sparsity, high randomness, and insufficient real-time response in existing traffic systems. It innovatively proposes a set of methods for traffic sensing and simulation that deeply integrate big data, artificial intelligence, and the Internet of Things (IoT) technologies.

The project team has developed a cost-effective and efficient road traffic state recognition hardware and software system, using advanced sensors and algorithms to accurately collect and analyze road conditions. Additionally, a network-level traffic state sensing and signal control optimization system has been created. This system utilizes intelligent algorithms to dynamically adjust signal strategies, ensuring optimal traffic flow.

In practice, this solution significantly enhances the accuracy and efficiency of traffic state perception, optimizes urban traffic management, and facilitates its transformation towards intelligence and refinement, providing solid technical support for smart city development. Currently, the related technologies have been successfully applied in Alibaba Cloud's City Brain 4.0, as well as leading industry companies in Macau and Mainland China, such as Bovi Information Systems and Jinli Technology. The solution has also supported major events such as the Beijing Winter Olympics, Winter Paralympics, and the World Diversity Conference. The results have been promoted in 29 provinces and cities nationwide, strongly advancing the smart city transformation and contributing to green and sustainable development.

Fig 1 An Efficient Lightweight Urban Cognition Engine Algorithm under Sample Constraints

Fig 2 A low-cost, high-efficiency non-invasive road traffic state recognition hardware and software system

Fig 3 Hong Kong and Macau COVID-19 Hotspot Analysis System