Traffic Pattern Recognition System Design and Development Based on Smart Phones

With the development of social intelligence and information, it is of more and more great significance in recognizing traffic patterns automatically. Traffic patterns recognition, refers to identifying the user´s currently traffic pattern, which can be widely used in the transportation planning, location based services, social networks and many other fields. With the development and popularization of smart terminals, mobile phones have more and more powerful perception, computation, storage and communication abilities, making recognize user traffic patterns with the mobile phones a hot topic of current research. This paper firstly introduces the current research situation of the traffic patterns recognition. Then the positioning algorithms and classification algorithms are presented, and appropriate algorithms are selected for our systems. Based on the selected algorithms, the traffic patterns recognition system is developed with smart mobile phones, which has three main functions: sustaining traffic patterns recognition, record the current traffic information and view the history traffic locus.