The invention relates to the technical field of intelligent parking, in particular to a parking space parking method based on positioning data analysis. The method specifically comprises the following steps: displaying predicted parking time and minimum return time of a normal vehicle; acquiring positioning information of a vehicle owner of the illegal parking vehicle in real time; and according to the predicted parking time, the minimum return time and the positioning information of the vehicle owner of the illegal parking vehicle, judging whether to notify the vehicle owner of the illegal parking vehicle to return and move the vehicle by fusing a decision. After the owner of the illegal parking vehicle leaves, the predicted parking time and the minimum return time of the normal vehicle can be updated in real time along with the real-time change of the position of the owner of the normal vehicle, and when the owner of the illegal parking vehicle leaves the parking space farther or the owner of the normal vehicle returns to pick up the vehicle, the owner of the illegal parking vehicle can be actively notified to move the vehicle in advance, so that the driving safety of the illegal parking vehicle is improved. Parking contradictions can be effectively avoided, and the utilization rate of parking spaces is improved. According to the method, the k-mems clustering algorithm and the BP neural network algorithm are adopted, the prediction of the return time of the normal vehicle owner can be remarkably improved, and the judgment accuracy can be further improved by fusing the weight.
本发明涉及智慧停车技术领域,特别涉及一种基于定位数据分析的车位泊车方法。具体方法为:显示正常车辆的预计停放时间和最少返程时间;实时获取违停车辆车主的定位信息;根据预计停放时间、最少返程时间和违停车辆车主的定位信息,融合决策判断是否通知违停车辆车主返回挪车。本发明在违停车辆的车主离开后,随正常车辆的车主位置的实时变化,可实时更新正常车辆的预计停放时间和最少返程时间,当违停车辆车主离开车位较远,或正常车辆车主返回取车时,可主动提前通知违停车辆车主返回挪车,可有效的避免停车矛盾,提高车位利用率。本发明采用了k‑meams聚类算法和BP神经网络算法,可显著提高正常车辆车主返程时间的预测,融合权重可进一步提高判断的准确性。
Parking space parking method based on positioning data analysis
一种基于定位数据分析的车位泊车方法
2023-12-08
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze |
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