The invention discloses a system and a method for determining dynamic regulation priority of traffic load. The system collects multi-dimensional traffic data of traffic flow, vehicle speed, vehicle type, road condition and weather condition in real time, performs analysis based on the data, predicts future traffic load in combination with an adaptive neural fuzzy inference system, and calculates a dynamic adjustment priority. The data analysis module carries out processing and trend analysis on the collected traffic data, and provides a basis for load prediction. And the traffic load prediction module predicts the future traffic load by using an ANFIS model based on the analysis result, and calculates the regulation and control priority in combination with the Factor1 and the Factor2. According to the calculated priorities, a basis can be provided for traffic management decisions so as to guide traffic signal control and lane distribution. Through the method, real-time and accurate priority judgment can be provided for traffic management, traffic congestion can be effectively relieved, and use of road resources can be optimized.
本发明公开了一种判定交通负载的动态调节优先级的系统和方法。该系统通过实时收集交通流量、车速、车辆类型、道路情况、天气情况多维度交通数据,并基于这些数据进行分析,结合自适应神经模糊推理系统对未来交通负载进行预测,计算出动态调节优先级。数据分析模块对收集到的交通数据进行处理和趋势分析,为负载预测提供基础。交通负载预测模块基于分析结果,利用ANFIS模型预测未来的交通负载,并结合Factor1与Factor2来计算调控优先级。根据计算出的优先级,能够为交通管理决策提供依据,以指导交通信号控制、车道分配。通过该方法,能够为交通管理提供实时、精准的优先级判定,帮助有效缓解交通拥堵并优化道路资源的使用。
System and method for dynamically adjusting traffic load
一种交通负载的动态调节的系统和方法
04.04.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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