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A method to remove the influence of road alignment on sharp turns of vehicles

A technology for sharp turns and vehicles, which is applied to the traffic control systems, instruments, and traffic flow detection of road vehicles. It can solve the problem of not considering the influence of road alignment, and achieve the effect of reducing traffic accidents and ensuring traffic safety.

Active Publication Date: 2022-02-01
SHANDONG JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the influence of the road alignment itself is not considered in the judgment of the sharp turn at present, and provide a method for removing the influence of the road alignment on the judgment of the sharp turn of the vehicle by combining trajectory data and map data, so as to realize the precise monitoring of the driving behavior of the driver , reduce traffic accidents, traffic congestion, and ensure traffic safety

Method used

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  • A method to remove the influence of road alignment on sharp turns of vehicles

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Experimental program
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Effect test

Embodiment 1

[0031] like figure 1 As shown in state A of , the implementation of the present invention is a method for removing the influence of road alignment on sharp turns of vehicles based on trajectory data and map data, including the following steps:

[0032] A. Data processing: Clean and reconstruct the GPS or Beidou positioning data received from Vehicle A to remove abnormal data and redundant data;

[0033] B. Matching of track data and digital map: Quickly match the Beidou or GPS data processed in step A to the digital map, associate the vehicle track data with the digital map, and determine the road section to which the vehicle belongs;

[0034] C. Judging sharp turns:

[0035] C1. Every time the sampling interval is 1 second, the sampling speed of the vehicle is v1=32km / h and v2=32km / h for two consecutive times within a certain period of time;

[0036] C2. The absolute value of the azimuth change between the next sampling time and the previous sampling time Start sharp turn...

Embodiment 2

[0043] like figure 1 As shown in state B of , the implementation of the present invention is a method for removing the influence of road alignment on sharp turns of vehicles based on trajectory data and map data, including the following steps:

[0044] A. Data processing: Clean and reconstruct the GPS or Beidou positioning data received from Vehicle B to remove abnormal data and redundant data;

[0045] B. Matching of track data and digital map: Quickly match the Beidou or GPS data processed in step A to the digital map, associate the vehicle track data with the digital map, and determine the road section to which the vehicle belongs;

[0046] C. Judging sharp turns:

[0047] C1. Sampling is performed once every 2 seconds after the sampling interval, within a certain period of time, the vehicle has two consecutive sampling speeds v1=35km / h, v2=40km / h;

[0048] C2. The absolute value of the azimuth change between the next sampling time and the previous sampling time Start s...

Embodiment 3

[0053] like figure 1 As shown in state C of , the implementation of the present invention is a method for removing the influence of road alignment on sharp turns of vehicles based on trajectory data and map data, including the following steps:

[0054] A. Data processing: Clean and reconstruct the GPS or Beidou positioning data received from vehicle C to remove abnormal data and redundant data;

[0055] B. Matching of track data and digital map: Quickly match the Beidou or GPS data processed in step A to the digital map, associate the vehicle track data with the digital map, and determine the road section to which the vehicle belongs;

[0056] C. Judging sharp turns:

[0057] C1. Every time the sampling interval is 1 second, the sampling speed is v1=45km / h and v2=40km / h for two consecutive times within a certain period of time;

[0058] C2. The absolute value of the azimuth change between the next sampling time and the previous sampling time Start sharp turn type judgment;...

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Abstract

Aiming at the problem that the influence of the road alignment itself is not considered in the judgment of the sharp turn at present, the present invention provides a method for removing the influence of the road alignment on the judgment of the sharp turn of the vehicle by combining trajectory data and map data. The specific steps are: data processing, trajectory data and digital Map matching, judging the type of sharp turn, determining the value of the turning angle, and removing the influence of the road alignment. The invention realizes accurate monitoring of the driver's driving behavior, reduces traffic accidents and traffic jams, and ensures traffic safety.

Description

[0001] Summary [0002] Aiming at the problem that the influence of the alignment of the road itself is not considered in the judgment of the current sharp turn, the present invention provides a method for removing the influence of the alignment of the road on the judgment of the sharp turn of the vehicle by combining trajectory data and map data. The specific steps are: data processing, trajectory data and digital Map matching, determine the type of sharp turn, determine the value of the turning angle α, and remove the influence of road alignment. The invention realizes the precise monitoring of the driver's driving behavior, reduces traffic accidents and traffic jams, and ensures traffic safety. technical field [0003] 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 turning judgment based on trajectory data and map data. Background technique [0004] The analysis of a...

Claims

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Application Information

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Patent Type & Authority Patents(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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