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

Traffic zone population characteristic estimation method based on signaling data

A traffic cell, signaling data technology, applied in the field of traffic big data, to achieve the effect of protecting sensitivity, large sample size, saving manpower, material resources and time costs

Active Publication Date: 2018-09-04
SOUTHEAST UNIV
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, in the field of transportation, there is no other method used to extract the personal characteristics of travelers except the traditional questionnaire survey. The data of mobile phone operators makes it possible to extract the characteristics of travelers and analyze travel behavior.

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 zone population characteristic estimation method based on signaling data
  • Traffic zone population characteristic estimation method based on signaling data
  • Traffic zone population characteristic estimation method based on signaling data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Such as figure 1 As shown, a method for estimating population characteristics of a traffic district based on signaling data includes the following steps:

[0035] (1) Obtain the residential users within the service range of each mobile phone base station based on the mobile phone signaling data;

[0036] (2) Match the obtained resident user information with the operator's user information to obtain the personal information of resident users within the coverage of each mobile phone base station;

[0037] (3) Based on the corresponding relationship between the mobile phone base station and the traffic area, the personal information of the resident user corresponding to the mobile phone base station obtained in step (2) is converted into the characteristic information of the resident user in the traffic area.

[0038] A method for estimating population characteristics of a traffic district based on signaling data of the present invention, such as figure 1 As shown, the m...

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 zone population characteristic estimation method based on signaling data. The method comprises the following steps of 1, acquiring resident users within a service range of each mobile phone base station based on signaling data of a mobile phone; 2, matching the acquired resident user information with user information of an operator, thus acquiring personal information of the resident users in a coverage range of each mobile phone base station; and 3, converting the personnel information of the resident users corresponding to the mobile phone base station acquired in the step 2 into characteristic information of the resident users of a traffic zone. According to the method provided by the invention, the mobile network operator data can be used for acquiringthe traffic zone population characteristic information needed by a traffic plan without using additional equipment.

Description

technical field [0001] The invention relates to the technical field of traffic big data, in particular to a method for estimating population characteristics of a traffic community based on signaling data. Background technique [0002] The four-stage method of traffic planning is based on the travel survey of residents and consists of four stages: traffic generation, traffic distribution, traffic mode division, and traffic volume allocation. The travel survey of residents is the basic data for transportation planning. The traditional survey method is to conduct questionnaire travel surveys at intervals of several years. The sampling rate is relatively low and requires a lot of manpower, material resources and time. , the obtained results cannot meet the analysis requirements. With the continuous development of data acquisition technology, traffic research data sources have gradually evolved from traditional questionnaires and coils to radars, microwave detectors, bayonets, G...

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): H04W4/02H04W4/35H04L29/08G06Q10/06G06Q50/26
CPCH04W4/02H04W4/35G06Q10/06315G06Q50/26H04L67/535
Inventor 刘志远沈培琳贾若吴纯靓邢吉平
Owner SOUTHEAST 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com