The invention relates to the technical field of urban traffic management, in particular to a smart urban traffic management method based on artificial intelligence, which improves the quality and accuracy of data by training first traffic data and second traffic data, obtains traffic laws corresponding to traffic flow information and traffic jam information, and improves the traffic efficiency. Therefore, the traffic flow information and the traffic jam information in the target time period can be predicted conveniently, a user can select a proper route to go out conveniently, and the experience feeling of the user and the traffic management efficiency are improved. The second traffic data is monitored in real time, so that professionals can more timely and quickly process the traffic non-standard behaviors corresponding to the second traffic data, traffic congestion is reduced, and the processing efficiency of the professionals on the traffic non-standard behaviors is improved; the method comprises the following steps: determining risk factors and regional information of a traffic accident corresponding to third traffic data; according to the risk factors and the regional information, the occurrence of traffic accidents is prevented, and the probability of traffic accident occurrence is reduced.

    本申请涉及城市交通管理技术领域,尤其涉及一种基于人工智能的智慧城市交通管理方法,通过对第一交通数据和第二交通数据进行训练,提高了数据的质量和准确性,并得到了交通流量信息和交通拥堵信息对应的交通规律,进而极大方便的预测目标时间段内的交通流量信息和交通拥堵信息,方便用户选择合适的路线出行,提高了用户的体验感和对交通的管理效率。通过实时监测第二交通数据,方便专业人员更加及时快速的处理第二交通数据对应的交通不规范行为,减少交通拥堵并提高专业人员对交通不规范行为的处理效率;通过确定第三交通数据对应的交通事故的风险因素和区域信息;根据风险因素和区域信息,预防交通事故的发生,降低了交通事故发生的概率。


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    Title :

    Smart city traffic management method based on artificial intelligence


    Additional title:

    基于人工智能的智慧城市交通管理方法


    Contributors:
    HUANG FENG (author)

    Publication date :

    2024-10-01


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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