Tools for exploring historical positioning data

• Main Author: Lim, Joyce Ming Hui
• Other Authors: Hsu Wen Jing
• Format: Final Year Project
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/59885
• Institution: Nanyang Technological University

Recognizing and detecting patterns and behaviours of moving objects have been gaining popularity in the recent years for studying the behaviours of moving objects. Illustrations of moving objects can be vehicles, animals or people or even vessels. Collecting coordinates of moving objects and analyzing them, allows researchers and developers to detect and distinguish between normal and abnormal behaviours of the moving objects efficiently and easily. Analyzed results of historical logs can be served as important source of information. The aim of this Final Year Project is to develop tools for detection of clusters, patterns and prediction from clustered clusters of the historical logs. Collections of coordinates of moving objects are taken in by the application and will be stored in a format that can be displayed on Google Map. Based on the historical logs travelled, application can detect on the different patterns using the historial data log through the three different clustering algorithms, temporal queries on historial data and the prediction can be made on the next cluster based on the most travelled historical clusters. Application includes additional features such as Journal, Create, Read, Update and Delete of coordinates, enhanced user interaction interface and geographical queries.