The invention discloses a bus arrival time prediction method based on a GRU neural network. The method comprises: outputting historical data from a database to a CSV format file, acquiring original data, and analyzing the original data by using an HBase distributed database and a Spark memory processing technology to remove hybridity, complexity and coefficient of the original data; on the basis of single attributes and a multi-factor perspective, analyzing and processing the processed original data by using a feature correlation research method to obtain standard time sequence type data; withthe Lasso method, carrying out variable selection on the standard time sequence type data, and rejecting a feature vector with weak correlation in the standard time sequence type data; and constructing a bus arrival prediction model based on a GRU neural network and inputting the standard time sequence type data with the feature vector with weak correlation rejected to the arrival prediction model, thereby realizing bus arrival time prediction operation. Therefore, the accuracy of the bus arrival time prediction is improved effectively.