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Research Overview for Smart Cities

Under the Smart Cities Initiative from the White House, this project on urban cyber-physical-systems is aimed to address emerging urban mobility challenges by big-data-driven analytics. It is uniquely built upon large-scale urban infrastructures including various transportation systems, along with cellphone and smartcard systems, across different cities in the world. To improve these systems, we have been working on 10 TB vehicle GPS data from 400 thousand vehicles and 2 TB smartcard/cellphone data from 16 million urban residents. Technically, the key objectives of this project include (i) designing data fusion techniques (e.g., context-aware tensor decomposition) to improve quality of uncertain data by complementary features of heterogeneous-system data; (ii) formulating probabilistic/graphical model-integration techniques (e.g., Multi-view Learning) to characterize urban phenomena by capturing real-time urban-system interactions; (iii) proposing novel applications to improve mobility efficiency by optimizing data-driven models with application-specific algorithms such as approximation and online algorithms.