Traffic signal fuzzy control method and system considering individual prior data

The invention relates to a traffic signal fuzzy control method considering individual prior data. The method comprises the following steps: step 1, cleaning and analyzing license plate recognition data; 2, carrying out support vector machine driver personalized travel time prediction based on Bayesian optimization; step 3, Bayesian driver personalized path prediction based on the Markov chain is carried out; 4, fusing and utilizing the historical travel information and the real-time detection information of the vehicle; and step 5, obtaining a phase arrival rate and a turning rate through vehicle travel time and path prediction, and constructing a traffic signal fuzzy control method. The traffic flow arrival rate calculation thought provided by the invention can effectively estimate the traffic flow arrival rate under four-phase control, and the calculation result can be used as a data source of traffic signal control; the average delay of the vehicles can be obviously reduced, high-precision prediction of th