This invention relates to the field of
parking space prediction and parking guidance technology, specifically to a service area remaining
parking space prediction and parking guidance method based on time-series analysis. The method includes: obtaining a comprehensive
stability coefficient based on the
vehicle type and any
parking space type; obtaining a highway
traffic flow impact coefficient based on the number of vehicles on the highway heading to the service area that match the parking space type and the parking space's vacancy time, and the corresponding number of available parking spaces; obtaining a comparison benchmark based on the historical time period, traffic density, and dwell time corresponding to the current moment; obtaining a deviation degree of
traffic flow dwelling pattern based on the comparison benchmark and a preset off-peak time benchmark; obtaining the probability that a vehicle will occupy an available parking space of a certain type based on the comprehensive
stability coefficient, highway
traffic flow impact coefficient, and traffic flow dwelling pattern deviation degree; and guiding the vehicle based on the comparison result between the probability and a preset threshold. Using this invention, parking space prediction and parking guidance can be performed with relatively high accuracy.