Using traffic data collected by floating car is a feasible way to determine road network traffic conditions. But conventional travel speed estimation from high sampling floating car data (FCD) is not applicable in practice. In this paper we propose a method for estimating road travel speed from low sampling FCD based on a trajectory-based approach, which also takes intersections into consideration. The experiment demonstrates that this approach can achieve a trade-off between low sampling FCD and higher estimation accuracy, and can be further used for traffic state analysis and short-term prediction.
Urban Road Travel Speed Estimation Based on Low Sampling Floating Car Data
Ninth International Conference of Chinese Transportation Professionals (ICCTP) ; 2009 ; Harbin, China
ICCTP 2009 ; 1-7
2009-07-23
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Urban Road Travel Speed Estimation Based on Low Sampling Floating Car Data
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