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Road Condition Prediction Method and Device, Storage Medium, and Processor

A technology for predicting road conditions and time, applied in instruments, traffic flow detection, traffic control systems of road vehicles, etc., can solve problems such as increasing travel time and aggravating traffic congestion, and achieve the effect of reducing travel time and alleviating traffic congestion

Active Publication Date: 2022-01-28
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a road condition prediction method and device, a storage medium, and a processor to at least solve the technical problems of aggravating traffic jams and increasing travel time due to the inability to predict road conditions in related technologies

Method used

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  • Road Condition Prediction Method and Device, Storage Medium, and Processor
  • Road Condition Prediction Method and Device, Storage Medium, and Processor
  • Road Condition Prediction Method and Device, Storage Medium, and Processor

Examples

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Embodiment 1

[0036] According to an embodiment of the present invention, a method embodiment of a road condition prediction method is also provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0037] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. figure 1 A block diagram of a hardware structure of a computer terminal (or mobile device) for realizing the road condition prediction method is shown. Such as figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processor 102 (the processor 10...

Embodiment 2

[0128] According to an embodiment of the present invention, a road condition prediction device for implementing the above road condition prediction method is also provided, such as Figure 5 As shown, the device includes: an acquisition unit 50 , a calculation unit 52 , a processing unit 54 and a determination unit 56 .

[0129] The acquisition unit 50 is used to acquire the historical road condition information of the target road section within the preset time period, and the historical road condition information includes the corresponding road conditions at different times; state occurrence frequency, the state occurrence frequency is used to indicate the frequency of occurrence of the road state within a preset time period; the processing unit 54 is used to obtain the transition probability matrix at each moment according to the state occurrence frequency at each moment, and the transition probability matrix includes The probability of state transition from the previous mom...

Embodiment 3

[0140] The embodiment of the invention also provides a storage medium. Optionally, in this embodiment, the foregoing storage medium may be used to store program codes executed by the road condition prediction method provided in Embodiment 1 above.

[0141] Optionally, in this embodiment, the above-mentioned storage medium may be located in any computer terminal in the group of computer terminals in the computer network, or in any mobile terminal in the group of mobile terminals.

[0142] Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps: acquiring historical road condition information of the target road segment within a preset time period, where the historical road condition information includes road states corresponding to different moments; According to the road state corresponding to different moments, calculate the state occurrence frequency at each moment, and the state occurrence frequency is used t...

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Abstract

The invention discloses a road condition prediction method and device, a storage medium and a processor. Wherein, the method includes: acquiring historical road condition information of the target road segment within a preset time period, the historical road condition information including road states corresponding to different moments; calculating the state occurrence frequency at each moment according to the road states corresponding to different moments, The frequency is used to indicate the frequency of the road state appearing in the preset time period; according to the state occurrence frequency at each moment, the transition probability matrix at each moment is obtained, and the transition probability matrix includes the probability of state transition from the previous moment to the next moment; Based on the transition probability matrix, the road condition probability of the target road section at the moment to be predicted is determined, and the road condition probability is used to indicate the probability of the road state appearing at the moment to be predicted. The invention solves the technical problem of aggravating traffic congestion and increasing travel time due to the inability to predict road conditions in the related art.

Description

technical field [0001] The present invention relates to the field of road condition information processing, in particular to a road condition prediction method and device, a storage medium, and a processor. Background technique [0002] With the continuous advancement of urban construction, traffic travel has become the focus of people's attention. The most urgent thing is to predict road conditions in time and take preventive measures to reduce traffic accidents and travel time. For citizens, being able to predict road conditions in advance and choose a reasonable travel mode can also alleviate traffic congestion as a whole. [0003] The current analysis and judgment of traffic conditions are based on the statistical data of the transportation department on the one hand, such as subway passenger flow statistics; on the other hand, it is derived from the data generated by traffic application software, such as navigation maps. [0004] However, the existing traffic condition...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0129G08G1/0133
Inventor 方建生
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD