A Data Compression Method for Traffic Loop Detectors' Signals Based on Lifting Wavelet Transformation and Entropy Coding

Abstract

For the urgent demand of real-time data compression of large scale traffic loop detector system, a novel real-time data compression and reconstruction method combining lifting wavelet transform and hybrid entropy coding is proposed. The signal to be compressed is firstly decomposed with biorthogonali filters based on lifting wavelet transform and the hard-threshold method is then applied to the wavelet coefficients. In order to implement higher efficient compression, a hybrid entropy coding scheme is employed to code the reserved coefficients. This method has been applied to the real-time data acquired from a group of loop detectors. Simulation results indicate that the proposed scheme which combines both lossy and loss less compression techniques can achieve satisfactory compression performance in applications.