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Method and apparatus for predicting road conditions based on big data

机译:基于大数据预测道路状况的方法和装置

摘要

The present disclosure provides methods and apparatuses for predicting road conditions based on big data. One exemplary method comprises: collecting driving data associated with a road section; comparing the collected driving data with a normal observation sample to determine whether the driving data is abnormal data, putting the abnormal data and the road section into an abnormality database in response to the driving data being abnormal data, and continuously recording driving data of this road section; determining whether the road section is an abnormal road section according to the number of occurrences of abnormal data associated with the road section; and predicting a reason for the abnormality of the road section determined as the abnormal road section, according to a preset model. The technical solutions provided by the present disclosure can help accurately predict road conditions by analyzing big data, thereby saving manpower and material resources.
机译:本公开提供了用于基于大数据预测道路状况的方法和装置。一种示例性方法包括:收集与路段相关的驱动数据;将收集的驾驶数据与正常观察样本进行比较以确定驱动数据是否是异常数据,响应于驱动数据的异常数据,并连续记录这条道路的驾驶数据,将异常数据和路段放入异常数据库中。部分;根据与路段相关的异常数据的发生次数,确定路段是否是异常路段;根据预设模型,预测被确定为异常路段的路段异常的原因。本公开提供的技术解决方案可以通过分析大数据来精确地预测路况,从而节省了人力和材料资源。

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