The invention provides an urban low-carbon traffic big data detection method based on digital twinning. The method comprises the steps that weather, historical passenger flow of buses and driving data are acquired, and a BP neural network is constructed; counting the number of passengers getting on and off the bus at each station and predicting whether the station is fully loaded or not; recommending a bicycle and bus mixed green travel scheme according to the traffic big data; obtaining the greening condition of the road section and calculating a greening resistance coefficient; constructing a cellular automaton model to simulate the traffic flow and calculating the congestion index of the road section; a low-carbon and efficient travel plan is recommended according to the road greening condition and the real-time traffic flow; and evaluating a low-carbon travel plan based on a digital twinning technology.
本申请提供一种基于数字孪生的城市低碳交通大数据检测方法,包括:获取天气、公交车历史客流和行车数据并构建BP神经网络;统计公交车在每一站的上下车人数并预测站时是否满载;根据交通大数据推荐自行车与公交混合的绿色出行方案;获取路段的绿化情况并计算绿化阻力系数;构建元胞自动机模型模拟交通流并计算路段的阻塞指数;根据道路绿化情况和实时车流量推荐低碳且高效的出行计划;基于数字孪生技术评价低碳出行计划。
Urban low-carbon traffic big data detection method based on digital twinning
一种基于数字孪生的城市低碳交通大数据检测方法
2023-09-22
Patent
Elektronische Ressource
Chinesisch
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 / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / G06V |
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