Provided by: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
Classification is the classical problem in the process of machine learning and data mining. Classification is widely used for modeling various types of data sets, namely sets of items, text document, networks, signals and graphs. But, there is lack of study on trajectory classification. Trajectory classification is defined as the process of predicting vehicles class label based on its trajectory. Trajectory Data is the data which is collected from moving objects (vehicles). Large amount of trajectory (i.e. vehicles on road network) data is collected from technologies such as GPS, sensors, cameras, RFID etc., this data is useful for better Traffic prediction, activity recognition as well as transportation planning of the city.