Big data-based expressway secondary accident early warning method and system

A technology for highways and secondary accidents, which is applied to the traffic control system, collision avoidance system, traffic control system of road vehicles, etc. It can solve the problems of inaccurate early warning and cancellation of early warning, short distance of early warning equipment, and affecting traffic operation. , to achieve the effect of increasing the way of early warning triggering, avoiding untimely early warning, and shortening the time of stay

Inactive Publication Date: 2017-08-18
GUIZHOU UNIV
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these early warning devices all have the following defects: 1. The situation at the accident scene cannot be sent to the relevant departments in time, resulting in the accident scene not being discovered and processed in time, prolonging the residence time of the accident point and increasing the possibility of secondary accidents ;2. The setting distance of early warning equipment is short, and the early warning effect is not good. If you want to extend the early warning distance, you need to pay a lot of labor and time. On the highway, it is very dangerous to stay for a long time to set up early warning equipment itself. , which increases the possibility of secondary traffic accidents; 3. The setting method of these early warning equipment is single, and the start and end of early warning are all controlled by humans. There is a risk of secondary accidents due to untimely early warning, and the existence of early warning equipment The evacuation is not timely, which affects the traffic operation; 4. The existing intelligent guardrail can only pass through the accident vehicle after hitting the guardrail. The early warning device of the intelligent guardrail receives the vibration caused by the impact, and then starts the early warning device at the corresponding position, Some existing traffic accidents will not directly hit the protective fence, so the early warning device cannot be activated. At the same time, this kind of intelligent protective fence may also vibrate under the action of other external forces, forming unnecessary early warning
Therefore, the existing early warning methods have the problems of untimely discovery of the accident scene, short distance and long time-consuming setting of the early warning device, single setting method of the early warning device, inaccurate and untimely early warning and cancellation of early warning, and cannot effectively reduce the occurrence of secondary accidents.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Big data-based expressway secondary accident early warning method and system
  • Big data-based expressway secondary accident early warning method and system
  • Big data-based expressway secondary accident early warning method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Embodiment 1, a kind of expressway secondary accident early warning method based on big data, realizes by following steps:

[0030] (1) Actively trigger the early warning device: When an accident occurs, if the accident vehicle personnel are not injured, the vehicle personnel will turn on the trigger switch on the control device closest to the scene to actively trigger the early warning device. The early warning light in the early warning device will flash and the early warning the horn sounded;

[0031] (2) Passive triggering of adjacent early warning devices: starting from the actively triggered early warning device, the controller numbers the early warning devices. The early warning signal, the signal change rule is that the farther away from the starting point, the slower the flashing frequency of the warning light, and the lower the sound of the warning horn. On the contrary, the faster the flashing frequency of the warning light, the louder the sound of the warnin...

Embodiment 2

[0035] Embodiment 2, a method for early warning of secondary accidents on highways based on big data, its steps are consistent with Embodiment 1, the difference is: if the personnel on the accident vehicle dies or is incapacitated or cannot operate the control device due to other reasons, Passers-by connect to the network module of the nearest early warning device through mobile devices. After receiving the trigger signal, the network module transmits it to the controller and triggers the nearest early warning device. At the same time, the monitoring center sends the trigger signal to the adjacent early warning device to realize secondary alarm. Accident warning.

Embodiment 3

[0036]Embodiment 3, a method for early warning of secondary accidents on highways based on big data, its steps are consistent with Embodiment 1, the difference is: if the personnel on the accident vehicle dies or is incapacitated or cannot operate the control device due to other reasons, At the same time, when the monitoring center finds an accident through the electronic monitoring system, the monitoring center remotely triggers the nearest early warning device through the network module to realize the second early warning.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for early warning of secondary accidents on highways based on big data, which is realized in the following manner: early warning devices are arranged at intervals on highway guardrails, and when an accident occurs, the early warning devices at accident points near the accident site are triggered, and the early warning devices at accident points The location information of the accident site is sent to the monitoring center, and the early warning device at the accident point triggers the adjacent early warning device. Taking the early warning device at the accident point as the starting point, the closer the distance to the starting point, the stronger the early warning signal of the adjacent early warning device. The invention has the advantages of timely discovery of the accident scene, long distance and short time-consuming setting of the early warning device, various setting methods of the early warning device, accurate and timely early warning and cancellation of early warning, higher early warning efficiency and better effect, and can effectively reduce the occurrence of secondary accidents. Possibility of beneficial effects.

Description

technical field [0001] The invention relates to a method and system for early warning of secondary accidents on expressways, in particular to a method and system for early warning of secondary accidents on expressways based on big data. Background technique [0002] At present, the status of early warning of secondary accidents at home and abroad mainly depends on some early warning equipment, such as triangle warning signs, early warning isolation belts, warning lights installed on guardrails, and intelligent guardrails. However, these early warning devices all have the following defects: 1. The situation at the accident scene cannot be sent to the relevant departments in time, resulting in the accident scene not being discovered and processed in time, prolonging the residence time of the accident point and increasing the possibility of secondary accidents ;2. The setting distance of early warning equipment is short, and the early warning effect is not good. If you want to ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/16
CPCG08G1/162
Inventor 谢涛郭海鹏薄钰王慧杰张彦军王宁其他发明人请求不公开姓名
Owner GUIZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products