Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for road vehicle lane-changing model calibration and decision-making based on headway

A technology of headway headway and calibration method, applied in the field of traffic flow, can solve problems such as difficult to meet research needs, complex lane-changing model structure, difficult to solve, etc., to achieve convenient simulation research and application, good simulation effect, and low complexity. Effect

Active Publication Date: 2021-08-10
SOUTHEAST UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the traditional lane change models are complex in structure and difficult to solve, requiring a large amount of data for model calibration, which is difficult to meet the current research 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
  • Method and device for road vehicle lane-changing model calibration and decision-making based on headway
  • Method and device for road vehicle lane-changing model calibration and decision-making based on headway
  • Method and device for road vehicle lane-changing model calibration and decision-making based on headway

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] Example 1: If the observation area is an ordinary road section, such as figure 2 As shown, the vehicle is driving to the right, and car 0 is the target vehicle. Car 4 and Car 3 are the front car and rear car in the current lane respectively; Car 2 and Car 1 are the front car and rear car in the left lane respectively; Car 6 and Car 5 are the front car and rear car in the right lane. Then the measured data includes the target vehicle speed v 0 , the surrounding vehicle speed v i (i=1, 2, 3, 4, 5, 6), the headway distance s between the target vehicle and surrounding vehicles i (i=1, 2, 3, 4, 5, 6).

Embodiment 2

[0035] Example 2: If the observation area is the entrance ramp area, such as image 3 As shown, vehicle 0 is the target vehicle. If there is no vehicle in front of the current lane, the end point of the on-ramp (the vehicle must complete the lane change before this position) is taken as the static obstacle in front, which is recorded as point 4; if there is no vehicle behind the current lane, the start point of the on-ramp (the vehicle must be changed after this position) Road) as the rear static obstacle, recorded as point 3; car 2 and car 1 are the front car and rear car in the left lane respectively; there is no right lane. Then the measured data includes the target vehicle speed v 0 , the speed of surrounding vehicles or obstacles v i (i=1, 2, 3, 4), the headway distance s between the target vehicle and surrounding vehicles or obstacles i (i=1, 2, 3, 4).

Embodiment 3

[0036] Example 3: If the observation area is the off-ramp area, such as Figure 4As shown, vehicle 0 is the target vehicle. Car 4 and Car 3 are the front car and the rear car in the current lane respectively; Car 2 and Car 1 are the front car and the rear car in the left lane respectively; there is no car in front of the right lane, and the end of the exit ramp is taken as the static obstacle in front, which is recorded as Point 4: There is no car behind the right lane, and the starting point of the exit ramp is taken as the rear static obstacle, which is recorded as point 3. Then the measured data includes the target vehicle speed v 0 , the speed of surrounding vehicles or obstacles v i (i = 1, 2, 3, 4, 5, 6), the distance s between the target vehicle and surrounding vehicles or obstacles i (i=1, 2, 3, 4, 5, 6).

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 road vehicle lane change model calibration and decision-making method and device based on headway time. The vehicle lane change model calibration in the invention includes: acquiring vehicle and road actual measurement data, including whether there is an adjacent lane in the lane where the vehicle is located, The distance between the vehicle and the front and rear vehicles in the same lane, adjacent lanes and the speed of related vehicles; determine the direction of vehicle lane change, determine whether there is a motivation for lane change and the target lane according to the time headway; construct a logistic vehicle lane change model based on the time headway ;Calibrate the vehicle lane-changing model by extracting the conditional data of the target vehicle successfully changing lanes and refusing to change lanes. The invention has low complexity, strong applicability, less data demand, high calculation efficiency and good simulation effect, and can obtain a reliable vehicle lane-changing model through a small amount of vehicle and road actual measurement data for vehicle lane-changing behavior simulation, and then can be used It is used to study the lane changing behavior of vehicles, predict the state of traffic flow, and provide help for alleviating traffic congestion, reducing traffic hazards, and reducing waste of resources.

Description

technical field [0001] The invention relates to a road vehicle lane-changing decision-making technology based on headway, and belongs to the technical field of traffic flow. The invention realizes the lane-changing decision simulation of highway vehicles by constructing a logistic vehicle lane-changing model based on headway. Background technique [0002] Vehicle lane changing behavior is an important research content in the field of traffic flow, and it is an important basis for analyzing driving behavior, predicting traffic flow status, alleviating traffic congestion, and reducing traffic hazards. In order to avoid the influence of various control measures on the vehicle behavior in urban roads, road vehicles are generally taken as the research object. Limited by the cost and conditions of field experiments and observations, it has become the main research method in this field to measure a small amount of vehicle and road data to construct and calibrate the lane-changing ...

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): G08G1/07
CPCG08G1/07
Inventor 王昊陈全
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com