Prevention and control method of secondary traffic accidents under intelligent network mixed traffic flow environment

A technology for mixed traffic and traffic accidents, applied in traffic control systems, road vehicle traffic control systems, traffic flow detection, etc. The effect of reducing the risk of secondary accidents, large coverage, and rich and stable signal transmission

Active Publication Date: 2021-09-03
SOUTHEAST UNIV
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Expressway is one of the few types of highway facilities that can provide completely uninterrupted high-speed traffic flow. It plays a skeleton role in the regional transportation system, and the occurrence of accidents will form a fixed bottleneck, causing casualties and property losses, and will also generate additional emissions and energy. waste
In addition, the occurrence of the accident may also lead to secondary accidents, which will not only further aggravate the impact of existing accidents, but also greatly endanger the lives and health of emergency personnel.

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
  • Prevention and control method of secondary traffic accidents under intelligent network mixed traffic flow environment
  • Prevention and control method of secondary traffic accidents under intelligent network mixed traffic flow environment
  • Prevention and control method of secondary traffic accidents under intelligent network mixed traffic flow environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] figure 1 It is a schematic diagram of the control system composition and model training and decision-making mechanism of the present invention, including the following steps:

[0039] Step 1: Select variable signal boards and RSU equipment as information command issuing equipment, and deploy them along the expressway. The variable signal board is arranged on the traffic gantry and suspended above the road cross section. A gantry is hung with multiple variable signal boards, and one variable signal board issues a variable speed limit command for a lane. Variable speed limit instructions include "maintain the default speed limit" and "reduce the speed limit by 20km / h". The variable speed limit control command does not distinguish between lanes, and all lanes of the same section have the same speed limit. The RSU is also installed on the gantry. A gantry only needs one RSU device, and the communication radius is 200 meters. Using DSRC (Dedicated Short Range Communicatio...

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 proposes a secondary traffic accident prevention and control method in an intelligent network-connected mixed traffic flow environment. After the accident, the traffic management center evaluates the impact of the accident and the upstream traffic status based on the real-time traffic flow data obtained by the camera. On the one hand, it controls the RSU equipment within 2,000 meters upstream of the accident section to release safety information, and forwards it through vehicle-to-vehicle communication to inform the connected vehicles of the downstream accident situation in advance. On the other hand, the variable signal signs at different sections are controlled to issue variable speed limit control instructions together with the RSU equipment to guide the upstream vehicles to decelerate earlier than the upstream free flow section to reduce the risk of secondary accidents and improve the capacity of urban expressways. . Control commands are not forwarded through vehicle-to-vehicle communication. The invention optimizes the control model based on the deep reinforcement learning algorithm. When setting the reward function, two indicators of safety and efficiency are taken into account, and a penalty factor is set to guide the model to learn a more concise and reasonable control strategy. The model is optimized using the actor-critic framework.

Description

technical field [0001] The invention belongs to the technical fields of road traffic safety early warning, road traffic safety design, intelligent traffic management and control, and in particular relates to a secondary traffic accident prevention and control method in an intelligent network-connected mixed traffic flow environment. Background technique [0002] Expressway is one of the few types of highway facilities that can provide completely uninterrupted high-speed traffic flow. It plays a skeleton role in the regional transportation system, and the occurrence of accidents will form a fixed bottleneck, causing casualties and property losses, and will also generate additional emissions and energy. waste. In addition, the occurrence of the accident may also lead to secondary accidents, which will not only further aggravate the impact of existing accidents, but also greatly endanger the lives and health of emergency personnel. Therefore, the effective control of the proba...

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 Patents(China)
IPC IPC(8): G08G1/01H04W4/40H04W84/18G06N3/04G06N3/08
CPCG08G1/0125G08G1/0137H04W4/40H04W84/18G06N3/08G06N3/045
Inventor 徐铖铖彭畅王炜
Owner SOUTHEAST 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