Abstract
Smart transportation system is a cross-field research topic involving a variety of disciplines, in which data plays a central role. Researches that are driven by data can be traced back to the 1930s, when the British statistician and biologist Ronald Fisher creates the Iris dataset to study the objective and automated way to classify iris flower. Early success of data powered research illustrates the potential value of data in the research topics in either scientific or social domains. City transportation system is one of the most fundamental components of the city service. Recent researches show that the quality of the transportation service largely depends on how well its resources can be managed and utilized, which in turn relies on how well the data derived from that system can be collected and processed for the need of the government authority, as well as any individual citizen. Improvements on the transportation via the smart transportation system do not only pose an important impact on any individual’s life style, but it is also a great saving of time and energy.
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Acknowledgement
The work is supported by the National Natural Science Foundation of China under grant No. 61702305, the China Postdoctoral Science Foundation under grant No. 2017M622234, Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talents under the grant No. 2016RCJJ045.
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Zhang, Y. et al. (2018). Smart Transportation Systems for Cities in the Framework of Future Networks. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11068. Springer, Cham. https://doi.org/10.1007/978-3-030-00021-9_7
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DOI: https://doi.org/10.1007/978-3-030-00021-9_7
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