# A Police and Insurance Joint Management System Based on High Precision BDS/GPS Positioning
## 3 Framework  
As shown in Figure 1, on the basis of the trinity framework, namely, 'Terminal-Platform-Application', high precision GPS/BDS-based technical solutions can be provided for rapid disposition of traffic accidents. A remote accident processing platform has been established. The platform includes two components: one is developed for vehicle behavior big data analysis and management in the server and the other is the data-collecting system equipped with a BDS high precision IntelliSense service [23]. The remote accident processing platform focuses on BDS wide area differential location-based services, and the analysis of high precision maps and vehicle behaviors. By being equipped with integrated multiple sensors and a sub-meter level high precision positioning module, an intelligent terminal with high precision BDS/GPS positioning can obtain high precision position and attitude information of the vehicle and upload that to the platform. At the same time, the terminal can achieve data interconnection and data sharing among insurance companies, public security and traffic administrative departments and other related institutions. That is to say, police and insurance joint management has been achieved in our framework through the combination of the user terminals and the data-analysis platform when an accident happens. Generally speaking, when the positioning accuracy of on-board equipment cannot reach sub-meter level, it is difficult to achieve lane-level positioning. However, the users' frequency of changing lanes or a remote judgment for the traffic accident needs the support of lane level high precision positioning. Our terminal has achieved sub-meter positioning sensing on urban roads, by integrating wide area real-time precision positioning technology and inertial navigation technology. Meanwhile, the Apps to obtain vehicle behavior big data involve a number of insurance companies and IoV applications. In order to reduce barriers for third-party developers, high precision positioning technology is equipped on the third-party Apps. High precision satellite navigation and positioning and vehicle integrated navigation have been realized in the Android kernel of the terminal. The results will be transferred to the application layer. Thus it supports the third-party Apps' access to high precision BDS positioning data. A sharing platform is constructed. It can integrate receiving, storage, management and release of differential data based on high precision BDS positioning, vehicle behavior data, traffic safety situation and early warning data, traffic environment and geographic information data through space-time big data analysis and collaborative computing technology. The systematic framework of the platform includes the following four parts:  
1. Data bus layer  
Main realization: (1) different types of data such as differential data based on BDS, vehicle behavior data, information data of insurance users and video data through different data transfer interfaces can be imported and exported. Additionally, scheduling of unified data dissemination is conducted according to their characteristics. (2) The communication/storage limitation causes data sparsity of the collected data. Thus most of the collected data cannot be analyzed and used. Therefore, it is necessary to conduct initial processing for the raw data under certain rules. Figure 1: Terminal-Platform-Application’ trinity framework. Converged storage layer  
It can realize unified storage of heterogeneous data. Due to the different types of the collected data, the main storage components include: structured database, semi-structured database, and distributed files. Analytical calculation layer  
Distributed computing and dedicated processing for vehicle behavior big data have been realized. Moreover, different functions such as map matching, short time vehicle behavior analysis, long time driving habits analysis and insurance fraud protection analysis and insurance accident analysis according to the different data contents have been realized.