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Method for influencing vehicle sharp bend by removing road alignment based on trajectory data and map data

A technology of trajectory data and map data, which is applied in the traffic control system of road vehicles, traffic flow detection, instruments, etc., can solve problems such as not considering the influence of road alignment, and achieve the effect of reducing traffic accidents and ensuring traffic safety

Active Publication Date: 2019-11-12
SHANDONG JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for removing the influence of road alignment on vehicle sharp turn judgment by combining trajectory data and map data, so as to realize accurate monitoring of driver’s driving behavior. , reduce traffic accidents, traffic congestion, and ensure traffic safety

Method used

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  • Method for influencing vehicle sharp bend by removing road alignment based on trajectory data and map data

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Experimental program
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Effect test

Embodiment 1

[0029] Such as figure 1 Shown in state A, the realization of the present invention passes through a kind of method based on trajectory data and map data to remove the influence of road alignment on sharp turns of vehicles, comprising the following steps:

[0030] A. Data processing: data cleaning and reconstruction will be performed on the GPS or Beidou positioning data received from vehicle A, and abnormal data and redundant data will be removed;

[0031] B. Matching of trajectory data and digital map: quickly match the Beidou or GPS data processed in step A to the digital map, associate the vehicle trajectory data with the digital map, and determine the road section to which the vehicle belongs;

[0032] C. Judging sharp turns:

[0033] C1. Sampling is carried out every 1 second after the sampling interval, and within a certain period of time, the vehicle has two consecutive sampling speeds v1=32km / h, v2=32km / h;

[0034] C2. The absolute value of the azimuth angle change b...

Embodiment 2

[0041] Such as figure 1 As shown in state B, the realization of the present invention is based on a method for removing the influence of road alignment on sharp turns of vehicles based on track data and map data, comprising the following steps:

[0042] A. Data processing: clean and reconstruct the GPS or Beidou positioning data received from vehicle B, and remove abnormal and redundant data;

[0043] B. Matching of trajectory data and digital map: quickly match the Beidou or GPS data processed in step A to the digital map, associate the vehicle trajectory data with the digital map, and determine the road section to which the vehicle belongs;

[0044] C. Judging sharp turns:

[0045] C1. Sampling is carried out every 2 seconds after the sampling interval. In a certain period of time, the vehicle has two consecutive sampling speeds v1=35km / h, v2=40km / h;

[0046] C2. The absolute value of the azimuth angle change between the next sampling time and the previous sampling time ...

Embodiment 3

[0051] Such as figure 1 Shown in state C, the realization of the present invention passes through a kind of method based on trajectory data and map data to remove the influence of road alignment on sharp turns of vehicles, comprising the following steps:

[0052] A. Data processing: clean and reconstruct the GPS or Beidou positioning data received from vehicle C, and remove abnormal and redundant data;

[0053]B. Matching of trajectory data and digital map: quickly match the Beidou or GPS data processed in step A to the digital map, associate the vehicle trajectory data with the digital map, and determine the road section to which the vehicle belongs;

[0054] C. Judging sharp turns:

[0055] C1. Sampling is carried out every 1 second after the sampling interval, and within a certain period of time, the vehicle has two consecutive sampling speeds v1=45km / h, v2=40km / h;

[0056] C2. The absolute value of the azimuth angle change between the next sampling time and the previous ...

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Abstract

For the problem that the road own alignment is unconsidered in the existing turn judgment, the invention provides a method for influencing vehicle sharp bend by removing road alignment based on trajectory data and map data. The method comprises the following steps: processing data, matching the trajectory data and the map data, judging the sharp bend type, determining bend corner value, and removing road alignment influence. The precise monitoring on the driving behavior of the driver is realized, the traffic accident and the traffic congestion are reduced, and the traffic security is guaranteed.

Description

technical field [0001] The invention relates to the field of traffic safety monitoring, in particular to a method for removing the influence of road alignment on vehicle sharp turn judgment based on trajectory data and map data. Background technique [0002] The analysis of a large number of accident cases shows that because the most traffic accident factors are human factors, the driver's abnormal or dangerous driving behavior is the cause of some major traffic accidents. Sharp turns are an important part of dangerous driving. The recognition and reminder of sharp turns of vehicles Drivers can reduce traffic accidents, traffic congestion, and ensure traffic safety. At present, the recognition technology for sharp turns of vehicles can be roughly divided into two categories: one is based on detection instruments: the "sharp turn detection system and its method" applied by David Li uses the vehicle speed detection module, the turning rate detection module and the processing m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/0133G08G1/0137
Inventor 冯海霞咸化彩张萌萌刘海涛白燕孙广林
Owner SHANDONG JIAOTONG UNIV
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