The invention discloses a vehicle position information prediction method based on the Online-WSVR algorithm. The method includes the steps that 1, driving state information of a vehicle is collected in real time through an integrated navigation system in the vehicle; 2, modeling is carried out with the Online-WSVR algorithm according to the driving state information, in a previous period of time, of the vehicle, and weights are distributed to data at all time points so that the data can make different contributions to the modeling coefficient and accuracy can be improved; 3, position information, at the next moment, of the vehicle is predicted in real time with an Online-WSVR modeling function according to the current driving state information, wherein if current GPS signals are valid, the predicted longitude and latitude information at the next moment is erased, and if the current GPS signals are invalid, the longitude and latitude information, at the next moment, of the vehicle is predicted with the Online-WSVR algorithm and written into a training set for modeling to serve as a modeling sample for subsequent prediction. The method has the advantages that the principle is simple, the application range is wide, the positioning and prediction precision is high, the cost is low, portability is achieve, and reliability is good.