Wavelets in Intelligent Transportation Systems: Data Compression and Incident Detection

Abstract

WAVELETS IN INTELLIGENT TRANSPORTATION SYSTEMS: DATA COMPRESSION AND INCIDENT DETECTION by Shaurya Agarwal Dr. Pushkin Kachroo, Examination Committee Co-chair Professor, Electrical and Computer Engineering Department University of Nevada, Las Vegas Dr. Emma Regentova, Examination Committee Co-chair Associate Professor, Electrical and Computer Engineering Department University of Nevada, Las Vegas Research show that wavelets can be used efficiently in denoising and feature extraction of a given signal. This thesis discusses about intelligent transportation systems(ITS), its requirement and benefits. We explore use of wavelets in intelligent transportation systems for knowledge discovery, compression and incident detection. In the first section of thesis, we focus on the following problems related to traffic matrix: data compression, retrieval and visualization. We propose a methodology using wavelet transform for data visualization and compression of traffic data. Aim is to research on the wavelet compression technique for the traffic data, come up with the performance of various available wavelets and the best decomposition level in terms of