Method and device for predicting congested road segment, equipment, server and storage medium
A prediction method and server technology, applied in the field of information processing, can solve problems such as unforeseen road conditions and vehicle congestion
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Embodiment 1
[0025] figure 1 It is a flow chart of a method for predicting a congested road section provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of predicting a road section that is about to be congested. , the device can be implemented in the form of software and / or hardware, and can generally be integrated into a server. Typically, the server is a navigation server and is used in conjunction with a navigation client. like figure 1 As shown, the method of this embodiment specifically includes:
[0026] S110. The server acquires location-related information of the abnormal vehicle sent by at least one vehicle-machine terminal, wherein the location-related information includes: location information of the abnormal vehicle, and abnormal time information.
[0027] Generally speaking, car machine refers to the abbreviation of in-vehicle infotainment products installed in the car. The car machine must be able to realize information communic...
Embodiment 2
[0049] figure 2 It is a flowchart of a method for predicting congested road sections provided by Embodiment 2 of the present invention. This embodiment is embodied on the basis of the above-mentioned embodiments. In this embodiment, according to the obtained location-associated information obtained by the server, Predicting the congested road section in the map specifically includes: the server filters out the position information of the first target abnormal vehicle corresponding to the set time interval according to the abnormal time information; the server selects the location information of the first target abnormal vehicle according to the Position information, determine the first road section where the first target abnormal vehicle is located in the map; the server predicts the first road section including the first target abnormal vehicle quantity exceeding the vehicle threshold as a congested road section; For the predicted result of the road section, execute a corres...
Embodiment 3
[0069] image 3 It is a flow chart of a method for predicting congested road sections provided by Embodiment 3 of the present invention, and this embodiment is embodied on the basis of the foregoing embodiments. In this embodiment, the location-associated information may further include: abnormal vehicle state information; the server predicts the congested road section in the map according to the obtained location-associated information, specifically: the server predicts the congested road section according to the abnormal Time information, screening out the position information of the second target abnormal vehicle corresponding to the set time interval, and the status information of the second target abnormal vehicle; the server determines the second target abnormal vehicle in the map according to the position information of the second target abnormal vehicle The second road section where the target abnormal vehicle is located; the server updates the abnormal grade weight va...
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