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Vehicle trajectory prediction model establishment and prediction method

A vehicle trajectory and prediction model technology, which is applied in the traffic control system of road vehicles, traffic flow detection, instruments, etc., can solve the problems of low quality of vehicle trajectory prediction data and low accuracy of vehicle trajectory prediction

Active Publication Date: 2019-08-27
PCI TECH GRP CO LTD +2
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the deficiencies in the prior art, one of the purposes of the present invention is to provide a method for establishing a vehicle trajectory prediction model, which can solve the problems of low quality of vehicle trajectory prediction data and low accuracy of vehicle trajectory prediction;
[0005] The second object of the present invention is to provide a vehicle trajectory prediction method, which can solve the problems of low quality of vehicle trajectory prediction data and low accuracy of vehicle trajectory prediction;

Method used

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  • Vehicle trajectory prediction model establishment and prediction method
  • Vehicle trajectory prediction model establishment and prediction method
  • Vehicle trajectory prediction model establishment and prediction method

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Experimental program
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Effect test

Embodiment 1

[0076] Such as figure 1 As shown, a method for establishing a vehicle trajectory prediction model includes the following steps:

[0077] Step S1: Obtain the historical driving trajectory data of the vehicle. The historical driving trajectory data at least includes the bayonet trajectory sequence formed by vehicles passing through the bayonet in sequence in time, and construct single vehicle trajectory data and road network vehicle trajectory data according to the bayonet trajectory sequence .

[0078] In this embodiment, the historical driving trajectory data of the vehicle refers to that within a certain period of time (for example, 12 hours), the passing information of the vehicle is captured by the camera in each road checkpoint, so that each vehicle is obtained by Time sequence from the first bayonet through each bayonet to the information of the last bayonet, that is, the bayonet track sequence is obtained, and the bayonet track sequence includes at least the current bay...

Embodiment 2

[0147] Such as figure 2 As shown, Embodiment 2 provides a vehicle trajectory prediction method on the basis of Embodiment 1, that is, the vehicle trajectory prediction model in Embodiment 1 is used for prediction. The difference from Embodiment 1 is that the following steps are also included:

[0148] Step S8: When it is necessary to predict the current actual vehicle trajectory, the vehicle trajectory data to be predicted is screened and checkpoint completed according to the method described in Embodiment 1, and then input into the prediction model for prediction to obtain the prediction result. The prediction results include: the probability that the vehicle's next bayonet is S' is f(a,b), and the probability that the vehicle's next bayonet is S is 1-f(a,b).

[0149] Compared with the prior art, the present invention expands the data features in the process of clearing the historical driving trajectory data, and uses a special time and date processing method to make the pr...

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Abstract

The invention relates to a vehicle trajectory prediction model establishment and prediction method. The vehicle trajectory prediction model establishment method comprises the following steps: acquiring historical driving trajectory data of a vehicle, and constructing single vehicle trajectory data and road network vehicle trajectory data of the vehicle; carrying out screening to obtain screened single vehicle trajectory data and screened road network vehicle trajectory data; carrying out bayonet completion to obtain effective single vehicle trajectory data and effective road network vehicle trajectory data; establishing a prediction model of the effective single vehicle trajectory data; establishing a prediction model of the effective road network vehicle trajectory data; according to theprediction model of the effective single vehicle trajectory data and the prediction model of the effective road network vehicle trajectory data, constructing a fusion training set; and according to the fusion training set, training a set prediction model and generating a vehicle trajectory prediction model. According to the method in the invention, the data is effectively processed, the calculation amount is reduced, and the prediction is enabled to be more accurate and closer to the actual condition.

Description

technical field [0001] The invention relates to the technical field of vehicle trajectory prediction, in particular to a vehicle trajectory prediction model establishment and prediction method. Background technique [0002] In the traditional vehicle trajectory prediction, most vehicle-mounted GPS devices are used to collect vehicle location data, so as to obtain the vehicle's driving trajectory, and analyze and use the historical driving trajectory data to predict the vehicle trajectory. However, using this method to collect vehicle location data has its limitations. The popularization of vehicle-mounted GPS is extremely slow, and many vehicles are not equipped with GPS. Therefore, at present, there are a lot of vehicle position data obtained through cameras. Since cameras are installed on various roads, it has become very common, and image recognition technology has also been greatly developed. Vehicle position data can be obtained by shooting vehicles through cameras, and...

Claims

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0129
Inventor 李德纮杨东泉丁保剑秦伟
Owner PCI TECH GRP CO LTD
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