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

Effect evaluation method of traffic demand management measures based on identification data of license plates

A technology for license plate recognition and management measures, applied in the field of effect evaluation of traffic demand management measures, can solve the problems that real-time dynamic cannot be achieved, information is time-consuming and labor-intensive, and survey data reuse is not high. , the effect of simple and easy technical methods

Inactive Publication Date: 2012-06-27
TONGJI UNIV
View PDF5 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, most commonly used evaluation techniques are based on manual surveys, which cannot achieve real-time dynamics, and it is time-consuming and laborious to obtain complete traffic occurrence information, and the degree of reuse of survey data is not high.
By searching relevant technical literature, it is found that most of them are also studying the evaluation criteria for the evaluation of the implementation effect of traffic demand management measures. There is no public report on the method of using license plate recognition data to evaluate the implementation effect of traffic demand management measures.

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
  • Effect evaluation method of traffic demand management measures based on identification data of license plates
  • Effect evaluation method of traffic demand management measures based on identification data of license plates
  • Effect evaluation method of traffic demand management measures based on identification data of license plates

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Example 1: This method is a dynamic evaluation method combining historical data and current data. For each evaluation, two time points and a time range need to be given. Therefore, the basic conditions need to ensure the accuracy of these two time periods After the data has been accumulated, theoretically, the greater the coverage of video monitoring points, the better the evaluation results. However, after the coverage density reaches a reasonable value and the data meets the requirements, it is meaningless to deliberately expand the coverage of monitoring points.

[0036] Such as figure 1 As shown, the central part of the system is an integrated database system, including: a special application module, a basic data management and maintenance module, a license plate recognition data collection module, a dynamic data mapping module, a traffic demand management measure implementation effect evaluation module and a special application module. All these modules can be dist...

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 an effect evaluation method of a traffic demand management measures based on identification data of license plates, particularly to an implementation effect evaluation technology for the traffic demand management measures based on the identification data of license plates, which comprises the following steps: analyzing the data mining and effective information extraction from the existing identification data of vehicles in details, extracting traveling routes of vehicles with a shortest route algorithm and fuzzy inference technology in consideration of the basic characteristics of urban transportation, and real-time evaluating the traffic demand management measures in combination with the traffic subzone dynamic partitioning method. By adopting the technology provided by the invention, the effects that the travelling conditions are easily met, the operation method is simple and feasible and the evaluation results are accurate and timely are achieved, and the shortcoming that the evaluation technology in the prior art is difficult in dynamic adjustment of evaluation range and has long data acquisition cycle and poor real-time performance is overcome.

Description

technical field [0001] The invention relates to a method for evaluating the effect of traffic demand management measures based on license plate recognition data. Background technique [0002] The main purpose of implementing traffic demand management measures is to control the unlimited growth of traffic demand from the perspective of demand, and the direct manifestation of its implementation effect is whether the traffic volume passing through and entering and exiting the implementation range decreases. The above effect evaluation can be achieved through a large-scale traffic survey, fixed coil detection technology, floating car technology and license plate recognition technology. Compared with large-scale traffic surveys, which are time-consuming and labor-intensive, and the application direction is single, the license plate recognition technology has the characteristics of once and for all, real-time dynamics, and wide coverage; compared with the fixed coil detection tech...

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): G08G1/00G08G1/017
Inventor 陈小鸿杨超曾鹏
Owner TONGJI 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