Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Anomaly detection on ITS data via view association
Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description
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For the last two decades, intelligent transportation systems (ITS) have emerged as an efficient way of improving the performance of transportation systems, enhancing travel security, and providing more choices to travelers. A significant change in ITS in recent years is that much more data are collected from a variety of sources and can be processed into various forms for different stakeholders. The availability of a large amount of data can potentially lead to a revolution in ITS development, changing an ITS from a conventional technology-driven system into a more powerful multifunctional data-driven intelligent transportation system $(\hbox{D}^{2}\hbox{ITS})$: a system that is vision, multisource, and learning algorithm driven to optimize its performance. Furthermore, $ \hbox{D}^{2}\hbox{ITS}$ is trending to become a privacy-aware people-centric more intelligent system. In this paper, we provide a survey on the development of $\hbox{D}^{2} \hbox{ITS}$, discussing the functionality of its key components and some deployment issues associated with $\hbox{D}^{2}\hbox{ITS}$. Future research directions for the development of $\hbox{D}^{2}\hbox{ITS}$ is also presented.