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公开(公告)号：US11305780B2
公开(公告)日：2022-04-19
申请号：US16508771
申请日：2019-07-11
Inventor： Chen Yuan , Hong Chao Zhao , Bo Li , Zhi Jun Wang
Abstract: A road condition status prediction method is performed by a server and includes obtaining historical road segment information, the historical road segment information including road condition statuses and classification events that are used to classify the road condition statuses, and the classification events being determined based on content of the classification events, and obtaining an occurrence probability of each of the classification events, based on the obtained historical road segment information. The road condition status prediction method further includes obtaining a conditional probability of each of the classification events in each of the road condition statuses, based on the obtained historical road segment information, and predicting a road condition status of a road segment, based on the obtained occurrence probability of each of the classification events and the obtained conditional probability of each of the classification events in each of the road condition statuses.
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公开(公告)号：US20190329788A1
公开(公告)日：2019-10-31
申请号：US16508771
申请日：2019-07-11
Inventor： Chen YUAN , Hong Chao Zhao , Bo Li , Zhi Jun Wang
Abstract: A road condition status prediction method is performed by a server and includes obtaining historical road segment information, the historical road segment information including road condition statuses and classification events that are used to classify the road condition statuses, and the classification events being determined based on content of the classification events, and obtaining an occurrence probability of each of the classification events, based on the obtained historical road segment information. The road condition status prediction method further includes obtaining a conditional probability of each of the classification events in each of the road condition statuses, based on the obtained historical road segment information, and predicting a road condition status of a road segment, based on the obtained occurrence probability of each of the classification events and the obtained conditional probability of each of the classification events in each of the road condition statuses.
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