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Research And Implementation Of Vehicle Trajectory Tracking Technology Based On Internet Of Vehicles

Posted on:2018-06-06Degree:MasterType:Thesis
Country:ChinaCandidate:H F FanFull Text:PDF
GTID:2322330518495401Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the development of economy, vehicles have become more wid-espread. On the one hand, vehicles can meet people's travel demand; on the other hand, the increase of vehicles brings difficulties to the management of the city. Route planning has a good effect on alleviating traffic congestion. Traffic predicting plays an important role in route planning. The research of vehicle trajectory prediction is of great significance to alleviate traffic congestion.In this paper, the existing vehicle location prediction algorithm is analyzed, and an RBLS (Road Based Location Sign) algorithm is proposed. Based on this algorithm, a vehicle tracking system for internet of vehicles is designed and implemented.The main work of this paper are as follows:(1) Aiming at the problem that it is difficult to predict vehicle position using sparsity data, a vehicle trajectory prediction algorithm is proposed.In the algorithm, the fixed points are used to mark important urban nodes and roads, so that the fixed points can replace the original points of the vehicle. We use the transformed trajectory to predict vehicle location. In this paper, the prediction accuracy, prediction time and prediction coverage are used to verify our algorithm. The results show that the proposed algorithm improves the prediction accuracy by 3%, increases the coverage by 2%, and reduces the average prediction time by 30ms relative to the SIGI (Spatial Iterative Grid Partition) algorithm.(2) A vehicle trajectory tracking system based on RBLS algorithm is designed and implemented. The system adopts modular design scheme,which divides the system into two parts, client and server. The client completes the location information collection and information prompt functions; the server completes the location information receiving, the location information analysis, the warning information sifting, the warning information sending, the current route displaying, the historical route displaying, the vehicle position forecasting, the system management functions.(3) Designed corresponding deployment scheme for vehicle trajectory tracking system, and the function of the system is tested. The results show that the functional modules can complete the required functions and the system has reached the expected effect.
Keywords/Search Tags:internet of vehicles, sparsity data, trajectory prediction
PDF Full Text Request
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