چكيده به لاتين
Abstract:
Today, the use of big data in planning and management in road network is very important.
The Proliferation of Positioning devices and development in Wireless technologies have resulted in an increasing growth in location-based services. Tracking moving objects has many applications in different areas such as traffic and transportation management systems and location-based social Networks cause of these create massive amounts of data is produced. Discover data models and rules in data with data mining. Among the most important issues that arise in the field of moving objects data mining, can to such as explore patterns, clustering, classification, discovering abnormalities and analyzing similarities.
One of the methods for analyzing and evaluating two moving objects, exploring data and discovering knowledge, is the discovery of features using two moving objects previous movements to calculate the probability of a visit.
In this research, paid to Trajectory based Calculation of Meet Probability. The behavior of the motion model and the connection between two moving objects at a time interval and the space constraints with a particular radius that matches each other is examined. And a framework is developed to infer the likelihood of meeting these two moving objects.
Finally, multiple experiments are conducted in order assess this method shows the considerable performance of the method.
Keywords: Moving objects, Trajectory, Meeting
