The invention relates to a cloud computing method and system based on intelligent traffic. With the method and system adopted, block traffic road information with different traffic jam weights is analyzed, so that the influence deviation between a traffic period sequence and real-time monitoring information is not too large, the reliability of the real-time monitoring information can be improved,and the accuracy of the difference between the target monitoring information recognition degree and each candidate monitoring information recognition degree is ensured. When a plurality of candidate monitoring information identification degrees are selected, the candidate monitoring information identification degrees corresponding to traffic safety labels related to a target monitoring block can be selected as much as possible, and therefore, when the traffic safety risk of the target monitoring block is judged based on the traffic safety labels, different safety features recognized by the target monitoring block can be comprehensively considered; and therefore, the reliability of traffic safety risk recognition is improved, the traffic safety of the target monitoring block is further ensured, and the safety condition of the target monitoring block is prevented from being judged mistakenly due to inaccurate recognition.
本发明是关于一种基于智慧交通的云计算方法及系统,能够对具有不同交通拥堵权重的街区交通道路信息进行分析,这样可以确保通行时段序列和实时监控信息之间的影响偏差不会过大,以提高实时监控信息的可靠性,确保目标监控信息识别度与每个候选监控信息识别度的差值的精准性。在选取多个候选监控信息识别度时,能够尽可能地将与目标监控街区相关的交通安全标签对应的候选监控信息识别度进行选取,从而在基于交通安全标签进行目标监控街区的交通安全风险判断时,可以将目标监控街区识别到的不同的安全特征进行综合考虑,提高交通安全风险识别的可靠性,进而确保目标监控街区的交通安全,避免因识别不准确而导致错误判断目标监控街区的安全状况。
Cloud computing method and system based on intelligent traffic
一种基于智慧交通的云计算方法及系统
2021-03-30
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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