Location And Traffic Analysis System Based On Mobile Phone Information

In modern life, the traffic problem is getting people’s attention, therefore, Traffic forecasting and map location technology continues to evolve, and the field of wireless sensor is developing rapidly while the smart phone features are increasing. The increase of smart phone users in wireless sensor networks can play a role in high coverage, every smartphone as a mobile sensor node provides the data, a large amount of data is helpful to improve the accuracy of urban traffic prediction and vehicle positioning, and sensor location reduce the power consumption required.With the continuous expansion of the city, traffic forecasting and traffic location has become an important issue. At the present stage of research technique is basically based on static sensor and on-board GPS. These methods have significant limitations, as the deployment, operation, maintenance and replacement of static sensors is expensive, only the key section of the city will configure static sensors. While the number of on-board GPS is relatively small, the research object date is single and low coverage, and high power consumption of GPS has been a difficult problem to solve. Because of these problems, people using the relevant technologies developed products often can’t get accurate results or bear the consumption of electricity. In this article, we provide a kind of study through the smartphone data, that we use the mobile phone signal data to predict road congestion, and use the mobile phone sensors to locate at the same time. A large number of cell phone signaling information can calculate the road congestion, and the sensor location can reduce the power consumption of the mobile phone. And if the method can be used widely, we can get the LTE data from operators directly, so this way will not install the APP but expand the coverage of the data.This paper is divided into five parts, the first part introduces the background and significance of traffic forecasting and positioning based on wireless sensor technology, the second section describes the development platform and related technology research, and the third section describes the entire system implementation framework and client side, and the fourth section describes the design and implementation process of the server, the fifth part tests the system functions. In the final, this article will summarize the work and prospect how to improve in the future.