Research On Mobile Object Trajectory Prediction Technology Based On Location Service

Location service is a service that provides users with surrounding environment information based on geographic location.Since people 's daily work,study,and travel activities are always affected by the surrounding environment,a timely and accurate location service can help people perform better Travel preparation and planning.The core of the location service is geographic location and environmental data.In terms of geographic location,the Beidou satellite navigation system independently developed by China will complete the global network deployment plan by the end of 2020.By then,the Beidou navigation system will have all-weather Tianshi's high-precision,high-quality positioning,navigation,and timing capabilities can provide accurate and comprehensive positioning information for location services.In terms of environmental data,China 's high-tech industries such as geographic surveying,meteorological observation,and the Internet have achieved position service capabilities for natural landscape information such as geomorphology,climate,and human geographic information after years of development.However,the basic location service that only provides information about the surrounding environment of the user is not perfect for the user who is moving.If you can get the next location that the user is going to and push related environmental information in advance,then the user can be more accurate Make judgments and take more appropriate actions.Therefore,this paper combines location services based on satellite positioning information with mobile object trajectory prediction technology to study the use of location services to improve the accuracy of trajectory prediction in outdoor wireless environments with mobile objects as target users,and then uses the prediction results as a basis to users Technology to provide location prediction services.Among them,the organization and management of environmental information uses a distributed database HBase combined with a distributed search engine ElasticSearch as a secondary index architecture,which realizes the storage of massive environmental information and efficient query based on spatial elements;and the user trajectory information data based on satellite navigation systems One-Hot encoding and Word2vec algorithms are used to extract feature vectors.The converted vectorized trajectory sequence is used to train the trajectory prediction model based on LSTM algorithm.The usability of the trajectory prediction model is verified through testing.Finally,this paper implements a simulation experiment program,which simulates the user's historical trajectory,and pushes the surrounding environment information of the next destination that the user may go to in advance through the result of the trajectory prediction.