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Vehicle trajectory optimization method based on moving average algorithm

A sliding average and vehicle trajectory technology, which is applied in the field of navigation and positioning, can solve the problems of large storage space, low trajectory accuracy, and low accuracy of vehicle trajectory matching road network, achieving fast response, accurate vehicle trajectory, and energy saving The effect of memory space

Pending Publication Date: 2021-02-19
HENAN UNIVERSITY OF TECHNOLOGY
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a vehicle trajectory optimization method based on the moving average algorithm to solve the problem of low trajectory accuracy when the vehicle turns in the prior art, large storage space occupation, and accurate matching of the vehicle trajectory to the road network. low technical issues

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  • Vehicle trajectory optimization method based on moving average algorithm
  • Vehicle trajectory optimization method based on moving average algorithm
  • Vehicle trajectory optimization method based on moving average algorithm

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Embodiment 1

[0038] Embodiment 1: a kind of vehicle trajectory optimization method based on moving average algorithm, comprises the following steps:

[0039] S1: Obtain vehicle latitude and longitude data data;

[0040] S2: Use the sliding average algorithm to denoise the obtained longitude and latitude data, and select an appropriate sliding window size m according to the characteristics of the data nodes that need to be preserved;

[0041] S3: Organize the denoised data and determine the appropriate threshold;

[0042] S4: In order to remove redundant information, use the Douglas-Pocke algorithm for data thinning;

[0043] S5: The processed latitude and longitude data is marked on the map with the Entity.polyline function to draw a trajectory curve to obtain the real vehicle driving route.

[0044] Among them, the specific steps are:

[0045] 1. Data denoising based on moving average algorithm

[0046] The moving average algorithm adopted has fast response and small amount of calcula...

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Abstract

The invention discloses a vehicle trajectory optimization method based on a moving average algorithm, and provides a solution which comprises the following steps: firstly, processing received GPS databy using a moving average algorithm, and filtering noise points with abnormal positioning; and then thinning the denoised data by using a Douglas-Peucker algorithm, and redundant data are eliminatedunder the condition of ensuring that a trajectory curve is approximately unchanged, so that the trajectory curve can be smoother, and the storage space can be saved. In the running process of a vehicle, due to the influence of the multipath effect and other complex environments, received GPS data contain noisy points, and a formed track cannot express an original running route of the vehicle. According to the method, redundant data are eliminated under the condition that the track curve is approximately unchanged, so that the track curve can be smoother, and the storage space can be saved. Experimental results show that the method effectively removes noisy points and redundant nodes, saves storage space, and is obvious in trajectory optimization effect.

Description

technical field [0001] The invention relates to the technical field of navigation and positioning, and specifically designs a vehicle trajectory optimization method based on a moving average algorithm. Background technique [0002] With the development of social economy and the wide application of LBS (Location Based Services) services, the application of GPS (Global Positioning System) technology in vehicle positioning monitoring has become very mature. Vehicle trajectory display based on GPS positioning is an important function of map navigation positioning and traffic management decision-making. The principle is to use GPS technology to periodically obtain vehicle positioning information, and send the positioning information to a remote server through wireless network technology. The server background will extract and process the stored positioning information according to the client's request, and display the vehicle's location on the electronic map. driving track. Whe...

Claims

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Application Information

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IPC IPC(8): G08G1/123G08G1/01G01C21/34
CPCG08G1/123G08G1/0129G08G1/0137G01C21/3446
Inventor 王星东刘硕王玉华杨淑绘杨震
Owner HENAN UNIVERSITY OF TECHNOLOGY
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