A method and system for delay path planning
A delay path and path technology, applied in the field of intelligent transportation, can solve the problems of sparse data information, weak regularity, and increased driving time, etc., to achieve the effect of wide data range, large data sample size, and improved accuracy.
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Embodiment 1
[0061] refer to figure 1 , showing a schematic flowchart of a method for planning a delay path according to Embodiment 1 of the present application.
[0062] The embodiments of the present application actually include two aspects:
[0063] First, continuously obtain and analyze the personalized information of the corresponding clients in real time to predict the corresponding driving trajectory and driving time of the client, and then predict the road conditions of each road section in each time period according to the driving trajectory and driving time of each vehicle. Information (congestion location and degree of congestion, etc.);
[0064] Second, on the basis of the predicted road condition information, for the current client, plan the initial route from the current location to the destination, and adjust the initial route according to the constantly changing and predicted road condition information during the driving process of the current client. , until the client r...
Embodiment 2
[0121] refer to figure 2 , which shows a method for planning a delay path according to Embodiment 2 of the present application.
[0122] In the embodiment of the present application, in order to improve the accuracy of the road condition information, for the client that has already driven, the real-time basic movement information of the client is extracted to correct the movement prediction information of the user extracted according to the semantic information.
[0123] In this embodiment, a method for planning a delay path may specifically include:
[0124]Step 210, obtaining the personalized information recorded by each client in real time;
[0125] This step is similar to step 110 and will not be described in detail here.
[0126] Step 220, extracting real-time basic movement information of each client;
[0127] In the embodiment of the present application, the current basic movement information of each client terminal can be extracted in real time, and the basic movem...
Embodiment 3
[0159] refer to Figure 5 , which shows a schematic structural diagram of a delay path planning system according to Embodiment 3 of the present application, which may specifically include:
[0160] The personalized information extraction module 310 is used to obtain the personalized information recorded by each client in real time;
[0161] The pre-judgment information acquisition module 320 is used to convert the personalized information recorded by each client into semantic information, and extract the user's mobile pre-judgment information according to the semantic information;
[0162] Preferably, the personalized information includes text information recorded by the client;
[0163] Further, the pre-judgment information acquisition module includes:
[0164]a semantic analysis unit, configured to perform semantic analysis on the text information to obtain a semantic expression;
[0165] A mobile information extraction unit, used for extracting departure time and corresp...
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