Car ownership in China reached 194 million vehicles at the end of 2016. The traffic congestion index (TCI) exceeds 2.0 during rush hour in some cities. Inefficient processing for minor traffic accidents is considered to be one of the leading causes for road traffic jams. Meanwhile, the process after an accident is quite troublesome. The main reason is that it is almost always impossible to get the complete chain of evidence when the accident happens. Accordingly, a police and insurance joint management system is developed which is based on high precision BeiDou Navigation Satellite System (BDS)/Global Positioning System (GPS) positioning to process traffic accidents. First of all, an intelligent vehicle rearview mirror terminal is developed. The terminal applies a commonly used consumer electronic device with single frequency navigation. Based on the high precision BDS/GPS positioning algorithm, its accuracy can reach sub-meter level in the urban areas. More specifically, a kernel driver is built to realize the high precision positioning algorithm in an Android HAL layer. Thus the third-party application developers can call the general location Application Programming Interface (API) of the original standard Global Navigation Satellite System (GNSS) to get high precision positioning results. Therefore, the terminal can provide lane level positioning service for car users. Next, a remote traffic accident processing platform is built to provide big data analysis and management. According to the big data analysis of information collected by BDS high precision intelligent sense service, vehicle behaviors can be obtained. The platform can also automatically match and screen the data that uploads after an accident to achieve accurate reproduction of the scene. Thus, it helps traffic police and insurance personnel to complete remote responsibility identification and survey for the accident. Thirdly, a rapid processing flow is established in this article to meet the requirements to quickly handle traffic accidents. The traffic police can remotely identify accident responsibility and the insurance personnel can remotely survey an accident. Moreover, the police and insurance joint management system has been carried out in Wuhan, Central China’s Hubei Province, and Wuxi, Eastern China’s Jiangsu Province. In a word, a system is developed to obtain and analyze multisource data including precise positioning and visual information, and a solution is proposed for efficient processing of traffic accidents.
With the rapid development of the Internet, new industries, such as "Internet Plus" intelligent transportation and unmanned systems based on location, have gradually increased in number. The development of these industries requires high-precision location data; however, the 5 m accuracy of traditional navigation maps is insufficient to meet this demand. Therefore, a high-precision road navigation map is proposed. A high-precision road navigation map can provide more detailed road information, and can reflect the situation of the road accurately. Compared to traditional maps, a high-precision road navigation map has three advantages. First, it includes more map layers. Second, the content of the layers is finer. Third, a new map structure is created. However, the rich information content of high-precision maps leads to the generation of large amounts of data. Traditional centralized big-data-processing modes are unable to meet the computing needs required for processing such large amounts of data. Consequently, a big-data-processing model of "crowdsourcing + edge computing" is proposed to solve the problem of high-precision map calculations. Currently, highprecision road navigation maps are advancing rapidly, but some problems need to be solved in the development process.
This paper presents a low-cost scheme of an autonomous integrated global positioning system (GPS)/geomagnetism navigation system for small satellites to improve the performance of stand-alone GPS or geomagnetism navigation using the existing hardware equipment. In the paper, the use of the GPS and autonomous navigation systems based on magnetic ®eld measurements (ANSMFM) to determine low Earth orbits (LEO) is discussed. The paper combines the GPS with the ANSMFM and constructs a new autonomous GPS/geomagnetism integrated navigation system (AGGINS) using two integration approaches: loosely and tightly coupled integrations. The improved extended Kalman ®lter completes the data processing for the optimal integration. The paper analyses the bene®ts of the AGGINS and ®nally gives simulation results that demonstrate the eectiveness and practicability of the method.
This paper presents an unconventional approach to design of an adaptive digital PID (proportional integral derivative) controller for multivariable plants, which includes two parts: a fast online recursive identifier to provide updated model parameters of the plant and a genetic tuner, which is based on artificial genetic algorithms, to tune on-line the parameter matrices of the controller. An example is presented to show the effectiveness of the approach.
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