Method for calculating expected car following distance in driver car following behavior analysis

A technology of following distance and behavior analysis, applied in the direction of calculation, design optimization/simulation, special data processing application, etc., can solve the problems of hidden traffic safety, poor test repeatability, poor safety, etc., to achieve low cost, improve active adaptation ability, the effect of improving efficiency

Active Publication Date: 2017-08-04
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF4 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The data collection of driver's following behavior based on real vehicles often consumes huge manpower and financial resources, and the economy is poor; at the same time, the following operation of some radical drivers often brings traffic safety hazards and poor safety; in addition, due to the external traffic environment The data of the same driver’s car-following behavior collected on the same road section a

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 for calculating expected car following distance in driver car following behavior analysis
  • Method for calculating expected car following distance in driver car following behavior analysis
  • Method for calculating expected car following distance in driver car following behavior analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0062] The present invention proposes a method for calculating the expected following distance in the analysis of the driver's following behavior, such as figure 1 shown, including the following steps:

[0063] Step A1, using the simulation environment to collect the driving data of the current driver;

[0064] Step A2, for the driving data of the current driver, according to the preset number of segments, select the data segments of approximately steady-state car following; respectively preprocess each data segment to obtain the driver's longitudinal behavior characteristic parameter data set; The data segment of approximately steady-state ...

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 relates to a method for calculating the expected car following distance in driver car following behavior analysis. On the basis that drivers design multiple different driving scenes during data collection on a car surrounding simulation testing platform, driving data is collected aiming at the drivers; the car following behavior feature parameter data set of each driver is extracted from the driving data; the feature behavior parameter data sets of all the drivers are clustered into several different driving classifications, and are adopted as training data sets; then the training data sets are utilized for carrying out classification judgment on the current drivers to be classified. Different car following behaviors are classified, the efficiency of collecting car following behavior data is improved, the cost is low, and good safety is achieved. The longitudinal driving behaviors of the drivers can be simulated through the Gussian process, the individualized expected car following distance can be provided for the current drivers, and the active adaptive capacity of an auxiliary driving system to different drivers is improved.

Description

technical field [0001] The invention relates to the field of intelligent driving, in particular to a method for calculating an expected following distance in the analysis of a driver's following behavior. Background technique [0002] The existing advanced driver assistant system (Advanced Driver Assistant System, ADAS) does not consider the driver's individual requirements, resulting in most drivers not being able to fully trust it, often intervening or even shutting down the assisted driving system many times during the driving process. Therefore, the learning and classification of driver behavior, especially the analysis of longitudinal driving behavior, can provide personalized support for adaptive cruise control and collision warning systems in ADAS, realize the active adaptability of driver assistance systems to different drivers, and enhance Driving comfort experience, improve the driver's confidence in the driving assistance system. [0003] The data collection of d...

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): G06F17/50
CPCG06F30/20
Inventor 赵冬斌张启超夏中谱
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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