Abstract
The development of a smart city [1] is going to play a leading role in advanced city construction. Therefore, progressively more sensors with heterogeneous features are being, and will be, deployed in such a city, together with an Intelligent Transportation System (ITS). Data fusion is a necessary and sufficient technology for achieving these aims. In this study, we propose a novel data fusion framework (titled Mer-Gesh) that Merges multiple data sources in a similar manner to transmission Gears meshing in a uniform spatio-temporal context. © Springer-Verlag Berlin Heidelberg 2013.
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Zhang, S., Du, B., & Du, N. (2013). Mer-Gesh: A new data fusion framework to estimate dynamic road travel time. In Communications in Computer and Information Science (Vol. 398 PART I, pp. 1–15). Springer Verlag. https://doi.org/10.1007/978-3-642-45025-9_1
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