The invention relates to the technical field of intelligent traffic, in particular to a visualization processing method and system for displaying traffic big data, and the method comprises the following steps: recognizing the vehicle density and traffic flow speed of a plurality of regions based on traffic image data, analyzing the traffic flow feature change trend of a plurality of time periods, and generating an image feature data set. According to the method, traffic image data and historical traffic data are analyzed, traffic flow features and congestion time modes are analyzed and recognized, the accuracy of traffic prediction is improved, user demand preferences are analyzed in combination with user query feedback data, data views are dynamically adjusted according to user behaviors, the user experience and decision-making efficiency are improved, and the user experience and the decision-making efficiency are improved. By evaluating the operation accuracy and the information acquisition speed of the user interface and optimizing the interface design, the cognitive load of the user is reduced, the usability and the efficiency of a visual interface are improved, the traffic big data processing and visualization quality is improved, and the accuracy and the efficiency of traffic information application are optimized.
本发明涉及智能交通技术领域,具体为一种展示交通大数据的可视化处理方法及系统,包括以下步骤:基于交通图像数据,对多个区域的车辆密度和车流速度进行识别,分析多个时间段车流特征变化趋势,生成图像特征数据集。本发明中,通过分析交通图像数据和历史交通数据,对车流特征和拥堵时间模式进行分析与识别,提高交通预测的准确度,结合用户查询反馈数据分析用户需求偏好,根据用户行为动态调整数据视图,提高用户体验和决策效率,通过对用户界面的操作准确性和信息获取速度进行评估,优化界面设计,减少用户的认知负荷,提升可视化界面的易用性和效率,提升交通大数据处理和可视化的质量,优化交通信息应用的准确性和效率。
Visual processing method and system for displaying traffic big data
一种展示交通大数据的可视化处理方法及系统
2024-11-29
Patent
Electronic Resource
Chinese
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