Method and system for time-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, and 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 , shows a schematic flowchart of a method for delay path planning according to Embodiment 1 of the present application.
[0062] The embodiment of this application actually includes two aspects:
[0063] First, continuously obtain the personalized information of each corresponding client in real time for analysis to predict the corresponding driving trajectory and driving time of the client, and then predict the road conditions of each road segment in each time period according to the driving trajectory and driving time of each vehicle Information (congestion location and congestion degree, etc.);
[0064] Second, on the basis of the predicted road condition information, plan the initial path from the current location to the destination for the current client, and adjust the initial path according to the ever-changing and predicted road condition information during the driving process of the current client , until the client reaches the destination. ...
Embodiment 2
[0121] refer to figure 2 , shows a delay path planning method 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 been driving, the real-time basic movement information of the client is extracted to correct the deviation of the user's movement prediction information extracted according to the semantic information.
[0123] In this embodiment, a method for delayed path planning 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 the real-time basic mobile information of each client;
[0127] In the embodiment of the present application, the current basic mobile information of each client can be extracted in real time, and the basic mobile informati...
Embodiment 3
[0159] refer to Figure 5 , which shows a schematic structural diagram of a delayed path planning system according to Embodiment 3 of the present application, which may specifically include:
[0160] Personalized information extraction module 310, used for real-time acquisition of personalized information recorded by each client;
[0161] Pre-judgment information acquisition module 320, for converting the personalized information recorded by each client into semantic information, and extracting 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, configured to extract departure time and correspondi...
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