The invention provides a dynamic vehicle path optimization method based on a fuzzy rolling time domain control strategy. The method specifically comprises the following steps: Step 1, initializing fuzzy rolling time domain control; Step 2, acquiring customer information; Step 3, planning a path; Step 4, rolling a window; and Step 5, performing residual processing; the dynamic vehicle path optimization method has the beneficial effects that compared with rolling time domain control, first-in-first-out, nearest neighbor and other methods, the fuzzy rolling time domain control method provided bythe invention reduces the delivery distance and the total waiting time of customers on the aspect of processing the dynamic vehicle path problem, and is more reasonable and effective. According to themethod, the threshold of the time window of the traditional rolling time domain is blurred, the problem that a traditional rolling time domain cannot plan demand points near a time window as a wholeis solved, so that the neighborhood search capability of the traditional rolling time domain is improved, and the fuzzy rolling time domain control strategy is suitable for solving various dynamic problems such as dynamic vehicle path problems.