Methods for Floating Car Sampling Period Optimization

Floating-car system has become a new method to collect real-time traffic data, which has many advantages such as high precision, large coverage area, etc. This paper describes the composition of floating-car system and presents a theoretical method for floating-car sampling period optimization: considering velocity as a stochastic signal analyzed its frequency spectrum using Fourier transform and decided the optimal sampling frequency by Shannon sampling theory. The result shows that the optimal sampling frequency can acquire high data precision, which is suitable for practical application.