METHOD AND APPARATUS FOR PREDICTING ROAD CONDITIONS BASED ON BIG DATA

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.