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Research And Software Design Of Hybrid Location Algorithm In Vehicle Networking Environment

Posted on:2018-12-24Degree:MasterType:Thesis
Country:ChinaCandidate:D ShaoFull Text:PDF
GTID:2322330512473451Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of the Io V(Internet of Vehicle)and the state of high emphasis on road traffic,safe travel environment,efficient driving efficiency,real-time accurate positioning technology has gradually become a hot topic today.The single positioning technology is affected by the environment,weather,construction,equipment deployment and other aspects,and can not meet the needs of people on vehicle positioning.It is very important to improve the accuracy of vehicle positioning by fusing the positioning information of various positioning technologies in the environment of Io V.In order to meet the needs of real-time and accurate positioning of vehicles in the environment of Io V.In this paper,a hybrid location algorithm is proposed,which is suitable for the environment of Io V,and the software is designed based on the Android platform.The importance of the positioning technology is analyzed by the three positioning technologies of cellular,GPS and WLAN.The importance of the feedback from the mobile terminal is used as the basis for the next optimization of the positioning error.On this basis,the importance is weighted,Average,and ultimately get location information.Positioning software is based on the Android platform for design,firstly,the overall function of the positioning software is analyzed.Then,the function module of the UI module,the location service module,the exception handling module and the communication module are analyzed and detailed on the Android platform design.In this paper,the hybrid positioning algorithm is adaptively adjusted with the change of importance,which enhances the accuracy of positioning technology and avoids the bucket effect of adaptive weighted localization algorithm.The simulation results show that the proposed hybrid positioning algorithm improvesthe accuracy and adaptability of the positioning,and the execution time of the algorithm is less than 39 ms,which can meet the requirements of vehicle positioning in the environment of Io V.The positioning software of the mobile terminal can query the location information,traffic information and recommended travel of the terminal,and provide a more reliable service for the mobile terminal on the basis of improving the accuracy of the vehicle positioning.
Keywords/Search Tags:Internet of Vehicle, vehicle positioning, hybrid positioning algorithm
PDF Full Text Request
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