The invention relates to the technical field of traffic control, in particular to an emergency road network influence range analysis method, and aims to solve the technical problem that an existing scheme cannot reflect the characteristics of traffic jams in different districts under different weathers. The method comprises the following steps: acquiring historical accident information, and constructing a multi-task regression model; dividing the historical accident information into a training set and a test set; training the multi-task regression model by using the training set to obtain a trained multi-task regression model, testing the trained multi-task regression model by using the test set, obtaining a final multi-task regression model if the test is qualified, and adjusting the multi-task regression model to continue to train the multi-task regression model by using the training set if the test is unqualified. Until a final multi-task regression model is obtained; acquiring actual accident information; and inputting the obtained actual accident information into the final multi-task regression model to obtain an actual accident road network influence range, namely an emergency road network influence range.
本发明涉及交通控制技术领域,具体涉及一种突发事件路网影响范围分析方法,为解决现有方案不能反应出不同地段的在不同天气下的交通拥堵的特点的技术问题。该方法包括获取历史事故信息,构建多任务回归模型;将历史事故信息划分为训练集和测试集;用训练集训练多任务回归模型,获得训练好的多任务回归模型,用测试集测试训练好的多任务回归模型,测试合格,获得最终多任务回归模型,测试不合格,调整多任务回归模型继续用训练集训练多任务回归模型,直到获得最终多任务回归模型;获取实际事故信息;将获取实际事故信息输入最终多任务回归模型,获得实际事故路网影响范围,即突发事件路网影响范围。
Emergency road network influence range analysis method
一种突发事件路网影响范围分析方法
2023-08-29
Patent
Electronic Resource
Chinese
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 |
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