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Method for identifying operational risks of vehicular equipment in consideration of complexity of traffic environments

A technology for traffic environment and vehicle-mounted equipment, applied in the field of traffic engineering, can solve the problems of low risk identification degree, not considering the complex traffic environment of vehicles, etc., to achieve accurate risk identification results and improve driving safety.

Active Publication Date: 2018-09-04
HARBIN INST OF TECH
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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 disadvantages of the prior art that do not take into account the complex traffic environment in which the vehicle is located, resulting in low risk identification, and propose a vehicle-mounted equipment operation risk identification method that considers the complexity of the traffic environment

Method used

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  • Method for identifying operational risks of vehicular equipment in consideration of complexity of traffic environments
  • Method for identifying operational risks of vehicular equipment in consideration of complexity of traffic environments
  • Method for identifying operational risks of vehicular equipment in consideration of complexity of traffic environments

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specific Embodiment approach 1

[0037] Specific implementation mode one: as figure 1 and figure 2 As shown, a vehicle-mounted equipment operation risk identification method considering the complexity of the traffic environment includes the following steps:

[0038] Step 1: With the driving direction of the vehicle as the front, install a driving recorder and a lane tracker on the front windshield inside the vehicle, install an eye tracker camera on the dashboard or rearview mirror, and install an eye tracker camera on the rear windshield inside the vehicle The rear camera is installed on the top, the left camera is installed on the left B-pillar inside the vehicle, the right camera is installed on the right B-pillar inside the vehicle, and the control panel camera is installed on the roof of the vehicle;

[0039] Step 2: Weight the operation time of the on-board equipment collected by the control panel camera and the time when the driver's gaze point deviates from the lane collected by the eye tracker cam...

specific Embodiment approach 2

[0043] Specific embodiment two: the difference between this embodiment and specific embodiment one is: the specific process of obtaining the total operation time T of the driver on the vehicle-mounted equipment in the step two is:

[0044] The collected data on the duration of the driver’s operation of the vehicle-mounted equipment and the duration of the driver’s gaze point deviating from the lane are weighted and summed according to formula (1), which is defined as the total operation time T of the vehicle-mounted equipment, which is used to represent the vehicle-mounted equipment’s influence on the driver’s attention. occupancy. And as a parameter for judging the degree of risk in the operation of the vehicle-mounted equipment in the third specific embodiment. Ti Indicates the duration of different types of driver behavior, f i Indicates the weight factor for this type of duration. Such as: T 1 Indicates the operating time for the driver to operate the on-board equipment...

specific Embodiment approach 3

[0047] Specific implementation mode three: the difference between this implementation mode and specific implementation mode one or two is: in the step three, the traffic environment complexity is divided into four levels, which are specifically:

[0048] The traffic conditions corresponding to traffic environment complexity level 1 are: lane width d≥3.5m; number of lanes in the driving direction of the test vehicle n≥4; central separation form i≥1; The number of vehicles traveling in the same direction within 30m before and after the adjacent lane is N≤2; the traffic environment complexity index E is greater than or equal to 0 and less than or equal to 0.4;

[0049] The traffic conditions corresponding to traffic environment complexity level 2 are: lane width d≥3.25m; number of lanes in the driving direction of the test vehicle n≥3; central separation form i≥1; vehicle speed v≥40km / h; The number of vehicles traveling in the same direction within 30m before and after the adjace...

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Abstract

The invention discloses a method for identifying operational risks of vehicular equipment in consideration of the complexity of traffic environments, relates to methods for identifying operational risks of vehicular equipment, and is applied to the field of traffic engineering. The method includes firstly, mounting driving recorders, lane trackers, eye tracker cameras, rear position cameras, leftcameras, right cameras and control panel cameras inside vehicles; secondly, weighting operational durations of the vehicular equipment and lane deviation durations of gazing points of drivers to obtain total operational durations of the drivers on the vehicular equipment; thirdly, dividing the complexity of the traffic environments into four grades; fourthly, determining grades of traffic environment complexity indexes, namely values of the traffic environment complexity indexes; fifthly, acquiring score values of the operational risks of the vehicular equipment according to the total operational durations of the drivers on the vehicular equipment and the values of the traffic environment complexity indexes. The method has the advantage that the problem of low risk identification degrees due to the fact that complex traffic environments in which existing vehicles are located are not taken into consideration in the prior art can be solved by the aid of the method.

Description

technical field [0001] The invention relates to the field of traffic engineering, in particular to a vehicle-mounted equipment operation risk identification method considering the complexity of the traffic environment. Background technique [0002] In recent years, with the rapid development of information technology and electronic technology, new technologies such as on-board navigation and positioning have been rapidly applied in the automotive industry. Certain potential safety hazards, the number of traffic accidents caused by the driver's distraction caused by the operation of on-board equipment is gradually increasing. [0003] Driver error is one of the main factors affecting driving safety. It is inevitable that the driver needs to operate the on-board equipment while the car is running, which will cause the driver to be distracted and thus threaten driving safety. [0004] At present, there is still a lack of effective management regulations and measures for drive...

Claims

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Application Information

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IPC IPC(8): B60W50/00
Inventor 马艳丽张鹏蒋贤才祁首铭冷雪
Owner HARBIN INST OF TECH
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