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Zhe Z.,China University of Petroleum - East China | Zhang T.,Wuhan University | Zou H.,Shenzhen Urban Planning and Land Resource Research Center Pand | Wu Z.,NavInfo Co.
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC | Year: 2015

In this paper, we present a novel speedup technique for Floating Car Data (FCD) map matching which exploits the upper bound of driving distance between two adjacent track points. The traveling speed of floating car can be employed for estimating the upper bound, which can restrict the computational magnitude of all pairs shortest paths to the acceptable extent in the preprocessing stage. The overhead for shortest paths between adjacent track points, which is a major part of online map matching, can be greatly reduced by querying the results from the preprocessing stage. The proposed method can hasten massive FCD map matching to achieve real time high-performance and be easily integrated into on-line map matching methods. © 2015 IEEE.

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