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

Urban main road traffic flow blocking state division method combining macroscopic traffic flow information and microscopic traffic flow information

A macro traffic flow and micro traffic technology, applied in the field of urban road traffic planning, can solve problems such as only considering macro parameters or micro parameters, single types of traffic parameters, ignoring the physical meaning of traffic flow, etc.

Active Publication Date: 2021-06-25
HOHAI UNIV
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The types of traffic parameters used in the existing traffic state division methods are single, and only macro parameters or micro parameters are considered
The method based on micro-traffic flow theory focuses on the physical meaning between individual vehicles, but ignores the overall physical meaning of traffic flow. The clustering method based on macro-mathematical statistics pays attention to the overall fitting effect of traffic flow, but cannot explain the traffic flow. physical meaning
The existing traffic state classification methods mostly classify non-blocking traffic flow such as expressways and expressways, and there are relatively few studies on blocking traffic flow on urban roads.

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
  • Urban main road traffic flow blocking state division method combining macroscopic traffic flow information and microscopic traffic flow information
  • Urban main road traffic flow blocking state division method combining macroscopic traffic flow information and microscopic traffic flow information
  • Urban main road traffic flow blocking state division method combining macroscopic traffic flow information and microscopic traffic flow information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0079] Now, aiming at the traffic flow division method described above in this application, an example statement is made to verify the calculation method of this application.

[0080] First of all, the embodiment is based on the principle of selecting road sections for investigation, and selects Figure 6 For the two survey road sections shown, at the same time, we choose a sunny working day from 6:50 to 8:10 am as the survey time period. The nature of the survey road sections is shown in Table 1.

[0081] Table 1 Investigating road segment attributes

[0082]

[0083]

[0084] Then the data is preprocessed, and the video information acquired by the camera is played back to record traffic information such as vehicle speed and headway in the traffic flow, and the data with a headway of 0 is eliminated to determine the research interval of the headway frequency and eliminate the speeding vehicle. traffic data;

[0085] Then determine the statistical time interval, by the...

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 an urban main road traffic flow blocking state division method in combination with macroscopic traffic flow and microscopic traffic flow information. The method specifically comprises the following steps: placing a camera on an investigation road section for traffic investigation; preprocessing traffic data information acquired by a camera, removing invalid data, and determining a time headway frequency distribution interval; comparing the traffic parameter standard deviation under each statistical interval, and determining an optimal statistical interval; clustering the speed by using a K-means method, selecting an optimal traffic state number, and obtaining a speed threshold value of each traffic state; carrying out free flow and following state division on the traffic flow in each state based on a time headway method; and obtaining a clear time headway threshold value by using a coordinate conversion method. The method can better consider the interaction between the vehicles in the microscopic traffic flow and the overall characteristics of the traffic flow in the macroscopic traffic flow, guarantees the overall fitting of the traffic flow, and is of great significance.

Description

technical field [0001] The invention relates to a method for classifying the status of blocked traffic flow on an urban trunk road combined with macroscopic traffic flow and microscopic traffic flow information, and belongs to the technical field of urban road traffic planning. Background technique [0002] Traffic flow status is one of the important information for the effective implementation of intelligent transportation. The division of traffic operation status is the basis for reasonable traffic control and management measures in the urban road network. It is of great significance to alleviate the pressure of road traffic operation and improve the efficiency of road network operation. The types of traffic parameters used in the existing traffic state division methods are single, and only macro parameters or micro parameters are considered. The method based on micro-traffic flow theory focuses on the physical meaning between individual vehicles, but ignores the overall p...

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): G08G1/01G08G1/054G06K9/62
CPCG08G1/0133G08G1/054G08G1/0125G06F18/23213
Inventor 李红伟李巧巧周云月陈钰琪许力斌高志伟张可贺钟馨袁黎
Owner HOHAI 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