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.
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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: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_1
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DOI: https://doi.org/10.1007/978-3-642-45025-9_1
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