Traffic flow modeling method of unmanned vehicle

A technology of unmanned vehicles and traffic flow, applied in the field of unmanned driving, to achieve the effect of program flexibility

Inactive Publication Date: 2017-06-27
HEFEI UNIV
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of traffic safety and congestion in the prior art, the purpose of the present invention is to provide a traffic flow mo

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
  • Traffic flow modeling method of unmanned vehicle
  • Traffic flow modeling method of unmanned vehicle
  • Traffic flow modeling method of unmanned vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] see figure 1 , a traffic flow modeling method for unmanned vehicles, the steps are as follows:

[0060] (1) Combined with the daily traffic flow data of the Washington state highway in the research site, the problem analysis assumptions are made. The analysis assumptions include:

[0061] 1. 8% of the daily traffic volume occurs during the peak travel time. Based on people’s day-to-day work and rest time, the 24 hours of traffic conditions are divided into 3-hour peak periods and 21-hour off-peak periods.

[0062] 2. For many novice drivers and some drivers who do not obey the traffic rules, according to relevant research, it is assumed that they account for 12% and 5% respectively, and the other 83% are normal drivers. The reaction time of these three is about 2S , 3S, 1S,

[0063] 3. When calculating the traffic flow at the intersection, the number of vehicles in each lane proposed, take the average value,

[0064] Four, the vehicles considered in the present inven...

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 traffic flow modeling method of an unmanned vehicle and belongs to the field of unmanned driving. The method comprises steps that on the basis of analyzing factors that affect the traffic of the expressway, a traditional traffic model based on the differential equation is established; the relation map of the number of lanes affecting the average daily traffic flow in the average period and the peak period is made; the unmanned vehicle hypothesis and the classical Gipps safety distance rule are introduced; the NaSch model is improved; the automatic driving cellular automaton traffic flow model is proposed based on the safe distance; the new control method based on the spring damper is used to analyze the cooperation between the multiple vehicles; and finally the sensitivity detection is performed by increasing the reaction time of the unmanned vehicle from 0.1s to 1s. The traffic flow modeling method of the unmanned vehicle is introduced to improve the traffic safety and solve the traffic jam.

Description

technical field [0001] The invention relates to the field of unmanned driving, and more specifically, relates to a traffic flow modeling method for unmanned vehicles. Background technique [0002] At present, there are few studies on the mixed traffic flow of unmanned and artificial driving. Sunan Huang proposed a technology for the coexistence of unmanned and artificial driving to reduce the cost of highway automation and infrastructure requirements. Arnab Bose in 1999 In 2003, Arnab Bose proposed an unmanned driving model and analyzed the flow density maps of automatic and manual driving in the same proportion. At the same time, it also analyzed the shock wave; considering the differences of individual driving characteristics of the driver and the operating principle of ACC vehicles, the respective operating rules were constructed, and a new cellular automata model was proposed to simulate the mixed traffic flow. change characteristics. [0003] As the main tool for micr...

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): G08G1/01
CPCG08G1/0125
Inventor 张林松吴文胜魏志明张安国钱其昌贾贤飞
Owner HEFEI 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