Traffic state online learning and query method based on vehicle parking information

The invention discloses a traffic state online learning and query method based on vehicle parking information. The method comprises the following steps: 1) parking point data planning; 2) performing preliminary, individual and staying attribute division on staying points; 3) carrying out congestion...

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Bibliographic Details
Main Authors ZHANG BEILING, FU RONGPING, ZHAO HONGZHUAN, DAI JIE, FU JIANSHENG, LIAN GUAN, LIANG WANGYANG
Format Patent
LanguageChinese
English
Published 01.03.2024
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SIGNALLING
TRAFFIC CONTROL SYSTEMS
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Summary:The invention discloses a traffic state online learning and query method based on vehicle parking information. The method comprises the following steps: 1) parking point data planning; 2) performing preliminary, individual and staying attribute division on staying points; 3) carrying out congestion staying attribute division and state analysis on the staying points; and 4) user query. According to the method, the advantages of the big data processing technology are applied, the vehicle parking information is subdivided and deeply learned in an online mode, the query requirements of the user for the road network traffic state and the single vehicle parking information are rapidly presented, the accuracy and speed of information extraction can be guaranteed, the real-time requirement of user query can be well met, and the user experience is improved. And meanwhile, the user experience and the overall efficiency of the traffic system are also improved. 本发明公开了一种基于车辆停留信息的交通状态在线学习和查询方法，包括如下步骤：1）停留点数据规划；2）停留点的初步、个体、
Bibliography:Application Number: CN202311636578