Self-adaptive cruise control method based on safe distance model with driver car-following characteristics

A technology of adaptive cruising and safety distance, which is applied in the direction of control devices, vehicle components, and external condition input parameters, etc., can solve problems such as changing lanes and cutting queues, the risk of collisions between workshops, and affecting the efficiency of the system to follow the car, so as to improve the degree of humanization Effect

Active Publication Date: 2018-11-23
JILIN UNIV
View PDF7 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its design should conform to the actual driver’s following behavior. If the distance is too small, the driver will feel uncomfortable and even cause the risk of vehicle collision. If the distance is too large, it will not only lose the traffic flow o

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
  • Self-adaptive cruise control method based on safe distance model with driver car-following characteristics
  • Self-adaptive cruise control method based on safe distance model with driver car-following characteristics
  • Self-adaptive cruise control method based on safe distance model with driver car-following characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The specific content and implementation of the present invention will be further described below in conjunction with the accompanying drawings.

[0048]A kind of adaptive cruise control method based on the safety distance model of the driver's car-following characteristic that the present invention proposes, it comprises the following steps:

[0049] Step 1: Based on the analysis of the workshop's motion state, design a safe distance model that meets the characteristics of the driver following the car;

[0050] Step 2: Establish the fourth-order continuous car-following model of the ACC system;

[0051] Step 3: The safe distance model established in Step 1 is used as the following target of the adaptive cruise upper decision-making algorithm.

[0052] The present invention is based on the upper layer decision-making design of the adaptive cruise system of above-mentioned step 1, step 2 and step 3 and mainly includes the following three parts: 1, the design of the safe ...

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 self-adaptive cruise control method based on a safe distance model with driver car-following characteristics, which mainly comprises the following steps: 1, based on the analysis of the motion states between the cars, a safe car-following distance model conforming to the diver car-following characteristics is designed; 2, a fourth-order continuous car-following model of an ACC system is established; 3, the safe car-following distance model established in step 1 is used as the following target of the upper layer decision algorithm of the adaptive cruise system. According to the invention, aiming at the problem that the expected safe distance selected by the upper layer control algorithm of a prior adaptive cruise system does not confirm to the actual driver characteristics, the safe car-following distance model is redesigned and applied to the upper layer decision algorithm, so that the control characteristics of the adaptive cruise system is closer to the control behaviors of a skilled driver and the acceptance and utilization rate of the system are improved.

Description

technical field [0001] The invention relates to the design of a humanized advanced driving assistance system (ADAS), in particular to an adaptive cruise control method based on the driver's driving characteristics. Background technique [0002] With the increasing number of vehicles, problems such as road congestion, energy shortage, environmental pollution and traffic accidents have become increasingly prominent, making intelligent transportation systems (ITS) based on electronics, communication, control and information technology emerge as the times require. Among the components of the human-vehicle-road traffic system, due to certain fluctuations and limitations in the psychology, physiology, and driving habits of drivers, it is inevitable that drivers will experience misjudgments due to fatigue and cause traffic accidents, so they become the weakest part of ITS. links. Advanced Driver Assistance System (ADAS) takes the driver as the research core, and reduces man-made t...

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): B60W30/16B60W50/00
CPCB60W30/16B60W50/00B60W2050/0031B60W2520/10B60W2554/801B60W2554/804
Inventor 田彦涛袁清刘振泽王德军李寿涛陈华
Owner JILIN 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

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