The invention discloses a road network state evaluation method based on a random forest and a natural language model. The method comprises the following steps: collecting data; calculating indexes; constructing a training set; constructing a road network evaluation random forest model; road network evaluation; and the evaluation result is natural and linguistic. The invention provides a scheme for quickly judging the highway accident site position, fully mobilizes the function of highway toll collection flow, plays a role in information identification of highway guardrails, solves the problem of quickly judging the highway accident site position, and accelerates the processing process of highway traffic accidents. According to the method, a complete traffic evaluation index system is formed, various traffic flow evaluation indexes are provided, big data indexes can be directly substituted into the traffic flow evaluation indexes for calculation, the operation state of the expressway network is evaluated through an index classification method, and a data basis is provided for optimization of the operation state of the expressway network.
本发明公开了一种基于随机森林和自然语言模型的路网状态评价方法。所述方法包括以下步骤:数据采集;指标计算;构建训练集;构建路网评价随机森林模型;路网评价;评价结果自然语言化。本发明提供一种高速公路事故现场位置快速判别方案,充分调动高速公路收费流水的作用,发挥高速公路护栏的信息标识作用,解决高速公路事故现场位置的快速判别问题,加快高速公路交通事故的处理进程。本发明形成了一个完整的交通评价指标体系,提出了各项交通流评价指标,可直接将大数据指标带入其中计算,通过指标分类的方法对高速公路网运行状态进行评价,为高速公路网运行状态优化提供数据依据。
Road network state evaluation method based on random forest and natural language model
一种基于随机森林和自然语言模型的路网状态评价方法
2025-01-24
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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