Discussion of the traffic flow prediction model based on the GSP algorithm

Inhalt:
In order to meet the fast travel in the time-changing environment, the driver needs to analyze and predict the vehicle driving path on the road, and plan the favorable routes. This paper optimizes the traditional GSP algorithm to optimize the adjacent nodes and combine the traffic flow history data. The model effectively reduces the number of candidate sequences required to be scanned, overcoming the limitations of the basic sequence model.