Vehicle track prediction method based on Internet of vehicles

Abstract

The invention discloses a vehicle track prediction method based on the Internet of vehicles, which belongs to the field of track prediction, especially vehicle track prediction. A historical track database is built based on track records collected by a GPS device of a vehicle, comparative retrieval is performed in the historical track database according to the current known state information of a user to work out the probabilities of all possible states, and the state with biggest probability is a predicted next state, namely, a predicted location. The predicted location is substituted into the track database as a current state for iterative calculation, and finally, the continuous track of the vehicle in the future is acquired. The method is advantaged in that the regularity of vehicle movement can be analyzed accurately, and the possible destination at a future moment and the continuous movement track of a vehicle can be predicted accurately.

Description

technical field [0001] The invention belongs to the field of trajectory prediction, in particular to the prediction of vehicle trajectory. Background technique [0002] The positioning accuracy and concealment performance of the GPS receiving equipment of the Global Positioning System are gradually improved, and the cost and volume of the equipment are also greatly reduced, making GPS widely used in vehicle monitoring and dispatching, vehicle management, etc., and is often used to record vehicles at a certain time. detailed location information for . [0003] The regular movement of vehicle nodes is the primary characteristic of vehicular networks, and the research on vehicle mobility has gradually gained people's attention and achieved certain research results. Research on vehicle mobility mainly involves the following three aspects: [0004] Trajectory data mining and processing: At present, many domestic and foreign scientific research institutions and colleges have car...

AI Technical Summary

Problems solved by technology

The early mobility models were mainly some relatively simple random movement models, such as random movement model RW (RandomWaypointMobilityMode), exponentially correlated random movement model ECR (ExponentialCorrelatedRadomMobilityModel), random direction movement model RD (RadomDirectionMobilityModel), etc., but because vehicles do not move randomly, Unable to truly describe the movement process of the vehicle

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