CAV lane changing decision-making method for off-ramp diversion area of expressway based on automatic driving special lane deployment scene

A technology for autonomous driving and dedicated lanes, which is applied in the field of intelligent transportation and can solve the problems of unclear safety characteristics of mixed traffic flow.

Active Publication Date: 2021-09-03
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the popularization of autonomous driving technology is limited by many factors, such as audience acceptance, matching degree of road infrastructure, relevant laws and regulations, etc., and the traffic mode still needs

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
  • CAV lane changing decision-making method for off-ramp diversion area of expressway based on automatic driving special lane deployment scene
  • CAV lane changing decision-making method for off-ramp diversion area of expressway based on automatic driving special lane deployment scene
  • CAV lane changing decision-making method for off-ramp diversion area of expressway based on automatic driving special lane deployment scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] Next, the technical solutions in the embodiments of the present invention will be apparent from the embodiment of the present invention, and it is clearly described, and it is understood that the described embodiments are merely embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0049] Lane Change Decision Making Based on autopilot lane freeway off-ramp deployment scenario shunt region CAV, comprising the steps of:

[0050] S10, constructed in the highway lane of the special autopilot CAV forced commutation channel region split off ramp scene: as figure 1 , The total number of lanes of the highway lane H, H≥4, lane farthest from the off ramp of l A Article autopilot lane (CAV-L), l A = 1,2 ... H-1; article 1 of the automatic driving lane to lane H, the l A Article automatic driving lane as the firs...

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 CAV lane change decision-making method for an off-ramp diversion area of an expressway based on an automatic driving special lane deployment scene. The method comprises the following steps: a forced lane change scene is constructed; the existence probability of the four types of vehicles when the mixed traffic flow is in a balanced state is calculated, the traffic volume of the automatic driving special lane and the traffic volume of the universal lane are calculated based on a lane management strategy, and mixed traffic flow operation conditions are constructed; and the CAV selects to change the lane when the cost function value J of the CAV lane change model is minimum. According to the CAV lane change decision-making method, the influence of CAV driving away from the CAV-L on the traffic state is analyzed, the CAV lane-changing intention generation point position and the lane-changing decision-making model are established, and the research result provides important technical guidance for future expressway mixed traffic flow management, and a theoretical basis is provided for deployment and landing of the automatic driving special lane of the expressway.

Description

Technical field [0001] The invention belongs to the field of intelligent transportation technology, involving the deployment of CAV-based autopilot freeway off-ramp lanes at the scene shunt region lane change decision making. Background technique [0002] In recent years, as the technology has become more sophisticated artificial intelligence, automated driving technology developed by pure research gradually turned to theoretical research and the specific combination of real tests, which means that future vehicle travel mode of transport will enter the CAV driving a vehicle with a manual (Human Manual Vehicles, HMV) mixed phase line. However, the popularity of autopilot technology subject to more constraints, such as the acceptance of the audience, matching the degree of road infrastructure, and other relevant laws and regulations, the technology has reached maturity during the traffic patterns still need to go through a longer period of CAV mixed with HMV phase line. Further, si...

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
IPC IPC(8): G08G1/16G08G1/0967H04L29/08
CPCG08G1/167G08G1/166G08G1/096725H04L67/12
Inventor 郝威吴其育张兆磊易可夫王正武田大新戎栋磊
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap