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

Viaduct road segment traffic congestion index calculation method based on microwave vehicle detector

A technology of traffic congestion index and vehicle detector, which is applied in the direction of road vehicle traffic control system, traffic flow detection, traffic control system, etc. Judging problems such as strong subjectivity, to achieve the effect of guaranteed collection accuracy, high accuracy and strong objectivity

Active Publication Date: 2016-02-03
ANHUI SUN CREATE ELECTRONICS
View PDF6 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above-mentioned traditional calculation method is not only complicated in the calculation process, but also highly subjective in judgment; at the same time, when the above-mentioned floating vehicle technology is used to collect and detect viaduct traffic information, it is also difficult to distinguish the viaduct main road from the downlink auxiliary road due to GPS positioning deviation. Road, resulting in extremely inaccurate data collection accuracy

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
  • Viaduct road segment traffic congestion index calculation method based on microwave vehicle detector
  • Viaduct road segment traffic congestion index calculation method based on microwave vehicle detector
  • Viaduct road segment traffic congestion index calculation method based on microwave vehicle detector

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] 1) Install and debug microwave vehicle detectors on the selected section of the north-south elevated highway in Hefei;

[0076] 2) Obtain the data measured by the microwave vehicle detector for a certain period of time

[0077] Lane 1: the number of vehicles of model 1 is 98; the number of vehicles of model 2 is 2; the number of vehicles of model 3 is 0; the number of vehicles of model 4 is 0; the time occupancy rate is 31%.

[0078] Lane 2: the number of vehicles of model 1 is 63; the number of vehicles of model 2 is 0; the number of vehicles of model 3 is 0; the number of vehicles of model 4 is 0; the time occupancy rate is 19%.

[0079] Lane 3: the number of vehicles of model 1 is 76; the number of vehicles of model 2 is 0; the number of vehicles of model 3 is 0; the number of vehicles of model 4 is 0; the time occupancy rate is 23%.

[0080] 3) Calculate the equivalent traffic volume of a single lane:

[0081] Lane 1: Equivalent traffic volume Q L1 =∑Q i E. i =...

Embodiment 2

[0098] 1) Install and debug microwave vehicle detectors on the selected section of the north-south elevated highway in Hefei;

[0099] 2) Obtain the data measured by the microwave vehicle detector for a certain period of time:

[0100] Lane 1: the number of vehicles of model 1 is 150; the number of vehicles of model 2 is 4; the number of vehicles of model 3 is 0; the number of vehicles of model 4 is 0; the time occupancy rate is 71%.

[0101] Lane 2: the number of vehicles of model 1 is 122; the number of vehicles of model 2 is 1; the number of vehicles of model 3 is 0; the number of vehicles of model 4 is 0; the time occupancy rate is 58%.

[0102] Lane 3: the number of vehicles of model 1 is 90; the number of vehicles of model 2 is 0; the number of vehicles of model 3 is 0; the number of vehicles of model 4 is 0; the time occupancy rate is 33%.

[0103] 3) Calculate the equivalent traffic volume of a single lane:

[0104] Lane 1: Equivalent traffic volume Q L1 =∑Q i E. ...

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 belongs to the technical field of urban viaduct information acquisition and processing, and particularly relates to a viaduct road segment traffic congestion index calculation method based on a microwave vehicle detector. The method comprises the following steps that 1) the microwave vehicle detector is installed on a viaduct road segment to be detected and debugged; 2) the detected data of the microwave vehicle detector are obtained; 3) equivalent traffic volume QLj of a single lane is calculated; 4) average density KLj of the single lane is calculated; 5) average driving speed VLj of the single lane is calculated; 6) average driving speed V<-> of the viaduct road segment is calculated; and 7) a viaduct road segment traffic congestion index TCI is calculated. The viaduct road segment traffic congestion index calculation method based on the microwave vehicle detector has advantages of convenient maintenance without damage to the road surface or influence on traffic, and can synchronously realize an online high-precision measurement and calculation function so that real-time and accurate evaluation of the traffic congestion state of the urban viaduct road segment can be performed finally.

Description

technical field [0001] The invention belongs to the technical field of urban viaduct information collection and processing, and in particular relates to a method for calculating traffic congestion index of a viaduct section based on a microwave vehicle detector. Background technique [0002] The traffic congestion index refers to the relative number after quantifying the congestion intensity of a single road section, a road of a certain level, or the overall road network at a specific moment in a specific area. This index value can reflect the traffic operation status and congestion intensity from a single road section to the overall road network , and reflect its running quality. The size of the index value represents different traffic operation status and congestion intensity. The larger the value, the worse the road operation status and the greater the congestion intensity during the evaluation period; conversely, the better the road operation status, the lighter the cong...

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 Applications(China)
IPC IPC(8): G08G1/01G08G1/065
Inventor 邹娇孙晓静董婉丽林家骐杨灿彭柱徐戚胡涛李鹏
Owner ANHUI SUN CREATE ELECTRONICS
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