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公开(公告)号:US20220165155A1
公开(公告)日:2022-05-26
申请号:US17440626
申请日:2019-05-08
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Abstract: A parking guidance method based on temporal and spatial features and its device, equipment, and storage medium, wherein the said method consists of two steps: accessing the estimated driving information of the targeted vehicles (S101), where the estimated driving information includes the targeted vehicle's planned driving route, destination and estimated time of arrival; inputting the estimated driving information into the pre-trained city-wide parking guidance system to generate recommended parking lot information for the targeted vehicle, where the city-wide parking guidance system is a spatiotemporal classifier trained with the parking events of urban cities in the current city as the training data (S102). The said method eliminates the necessity of relying on parking data from urban parking lots and effectively improves the city-wide parking guidance effect.