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Bus historical alarm data-based driver space risk early warning method

A technology of historical alarm and risk early warning, applied in the field of driving safety warning, can solve the problems of easy occurrence of fatigue, distraction, potential safety hazards, and lower safety, and achieve the effect of reducing the probability of occurrence, improving safety quality, and prompting safety norms.

Pending Publication Date: 2021-07-09
YANGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Bus drivers are prone to fatigue and distraction due to long-term driving, and when encountering some road conditions that are not very good, it is also very easy to cause visual fatigue of the driver and cause accidents. Currently, similar driving Safety technology has a method of using ultrasonic waves to measure the distance between two vehicles as a warning, but when the two vehicles are driving at a high speed, the reaction time of the fixed distance is relatively short, so that when accelerating, the safety is relatively low. On the other hand, the car Most of the warnings use visual warnings to judge their own situation, other vehicles, and surrounding environment factors visually, but visual inspection is really unable to cope with the occurrence of emergencies. Furthermore, there are certain hidden safety hazards in bus driving that need to be resolved

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  • Bus historical alarm data-based driver space risk early warning method
  • Bus historical alarm data-based driver space risk early warning method
  • Bus historical alarm data-based driver space risk early warning method

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Experimental program
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Effect test

Embodiment 1

[0069] refer to figure 1 , which is the first embodiment of the present invention, provides a driver space risk warning method based on bus history warning data, characterized in that: comprising,

[0070] S1: Obtain the driving alarm data of the bus driver and transfer it to the database, and divide the road analysis area according to the city where the alarm data is located. It should be noted that the input database includes:

[0071] The bus driving alarm data is obtained in real time through the wireless transmission system installed on the bus, that is, the alarm data of the abnormal behavior of the bus driver or the driver himself when the bus driver is driving;

[0072] Abnormal behaviors include smoking, talking on mobile phones, yawning, looking left and right while the driver is passing by, and lane departure, forward collision, rapid acceleration, and rapid deceleration of the driving vehicle;

[0073] The main fields contained in the bus driving alarm data inclu...

Embodiment 2

[0151] refer to Figure 2 to Figure 10 , is the second embodiment of the present invention, and this embodiment is different from the first embodiment in that it provides an experimental test of a driver space risk warning method based on bus history alarm data, specifically including:

[0152] Taking the bus traffic alarm data of a certain city in 2020-2021 as an example, a case analysis is carried out. The main software used is python programming software, SQL Server database, and qgis open source geographic software.

[0153] (1) Initial data introduction

[0154] refer to figure 2 , the alarm data during the bus driving process is obtained through the vehicle-mounted device and stored in the database. The alarm data mainly uses two types of tables. The first type of table is named after "bus+date", which mainly records the alarm behavior of the vehicle every time. The second type The table is named with "count+date", which mainly counts the number of different alarm beh...

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Abstract

The invention discloses a bus historical alarm data-based driver space risk early warning method, which comprises the following steps of acquiring bus driver driving alarm data and transmitting the data into a database, and dividing a road analysis area according to a city where the alarm data is located; carrying out risk classification on bus drivers, and carrying out spatial connection on the alarm data and the divided risk analysis areas; performing spatial connection on alarm data of different types of high-risk drivers and the divided risk analysis areas; comparing the personalized high-risk alarm analysis area with the general high-risk alarm analysis area, and performing risk probability prediction on the early warning driver based on a Markov chain; performing risk probability prediction on the early warning driver based on a metabolism grey GM (1, 1) model, and fusing two risk probability prediction results to obtain a comprehensive risk early warning probability; and according to the comprehensive risk early warning probability, outputting a driver with a large alarm probability in the next day, and forming a space early warning improvement report.

Description

technical field [0001] The invention relates to the technical field of driving safety warnings, in particular to a driver space risk warning method based on public transport historical warning data. Background technique [0002] Bus drivers are prone to fatigue and distraction due to long-term driving, and when they encounter some road conditions that are not very good, it is also very easy to cause visual fatigue of the driver and cause accidents. At present, similar driving Safety technology has a method of using ultrasonic waves to measure the distance between two vehicles as a warning, but when the two vehicles are driving at high speed, the reaction time of the fixed distance is relatively short, so that when accelerating, the safety is relatively low. On the other hand, the car Most of the warnings use visual warnings to judge their own situation, other vehicles, and surrounding environment factors visually, but visual inspection is really unable to cope with the occur...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06K9/62G06N3/08
CPCG06Q10/0635G06Q10/06313G06Q10/06393G06N3/088G06F18/23213G06F18/241
Inventor 于世军周鹏邓社军卞张蕾彭浪刘根基杨孝清
Owner YANGZHOU UNIV