Traffic optimization system and method based on XGBOOST

The invention relates to the technical field of machine learning, in particular to a traffic optimization system and method based on the XGBOOST. Firstly, an XGBOOST model is pre-trained, and after aprogram is started to be activated, an intelligent guardrail can receive a signal from a control center, widens lanes on the congestion side and narrows the lanes on the unobstructed side. In order toprevent the traffic problem caused by frequent change of the intelligent guardrail, the change time of the intelligent guardrail is not shorter than Beta. When the absolute value abs _ t of the difference value of the average passing time of the two sides of the road in the future half hour is smaller than a threshold value Gamma and the road change time is larger than a threshold value Beta, a recovery program is activated, and the intelligent guardrail recovers to the original state after receiving a recovery signal. The average passing time is used as an index of road congestion, and whenone side of the bidirection