RISUD Research Seminar - Modular Metacognitive Digital Twin Technologies for Greener Cities & Cleaner Mobility

Digital twin technology can improve the level of refined and intelligent management of cities, and has wide applications in urban planning, epidemic and disaster prevention, smart logistics, and sustainability assessment. Cell phone mobile data, as a more accessible fine-grained data set at the city level, has high mining value. However, the seemingly massive and huge cell phone mobile data actually contains serious problems such as sample scarcity, sampling bias, and heterogeneous errors. Then, how to simulate the real "big world" based on the "small world" constructed by the rough cell phone data and guided by the physical constraints of urban population movement behavior becomes one of the research bases of the digital twin city. This talk will focus on our recently built small world AI model - cell phone mobile data processing and analysis system, and its application to smart stations, smart energy and urban sustainability indicators assessment.