请关注Brain-X（交叉脑科学）主要聚焦与脑/神经科学有交叉融合的多学科前沿！微信公众号二维码Advanced Supervision, Maintenance, and Optimization for Intelligent Transportation SystemsGlobal demand for intelligent transportation systems (ITSs) has been increasing steadily over the past decades. In the practical applications, traffic congestion control, road safety, efficient infrastructure usage, fault diagnosis, health management, etc., are essential issues that have catalyzed the development of advanced techniques like supervision, maintenance, and optimization (SMO) for ITSs. One of the challenges for SMO techniques lies in the diversity of data from ITSs. These multisource data are complementary and multifaceted, providing comprehensive descriptions of the ITSs. In addition, since ITSs are generally time-varying, complex, nonlinear, and overdetermined, the well-established SMO techniques may be inefficient. Furthermore, the models and systems of IT
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