Bus route passenger flow OD estimation method based on WiFi and Bluetooth recognition

A bus line and passenger flow technology, applied in the field of intelligent traffic management, can solve problems such as errors and achieve the effect of improving accuracy

Active Publication Date: 2018-03-06
SOUTHEAST UNIV
View PDF7 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: In order to solve the error problem caused by the existence of impurity data in the existing bus passenger flow estimation method, the purpose of the invention is to provide a MAC that utilizes R language and ArcGIS to detect WiFi and Bluetooth detection equipment Address data and GPS data are highly integrated, impurity data screening and effective passenger information extraction are performed, and the results are effectively corrected. A more accurate and feasible bus passenger flow OD estimation method

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
  • Bus route passenger flow OD estimation method based on WiFi and Bluetooth recognition
  • Bus route passenger flow OD estimation method based on WiFi and Bluetooth recognition
  • Bus route passenger flow OD estimation method based on WiFi and Bluetooth recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The technical solution of the present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings.

[0044] The invention proposes a bus passenger flow O-D estimation method based on GPS positioning, WiFi and Bluetooth detection, and supported by R software and ArcGIS technology. The data collection method is based on the Meshlium Xtreme Wi-Fi+Bluetooth detection device, which uses an active scanning mode to detect the wireless network access points of iPhone and Android devices, and then obtain the MAC address of the passenger mobile terminal and the time it was scanned. Combined with the real-time location and other information recorded by the GPS recorder, the O-D collection and analysis of passenger flow on bus lines is realized.

[0045] First of all, when the user appears within the coverage area of ​​the bus Wi-Fi+Bluetooth detector and the WIFI or Bluetooth function of the mobile terminal is turned on, th...

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 bus route passenger flow OD estimation method based on WiFi and Bluetooth recognition, and the method comprises the steps: setting GPS equipment on a bus, collecting the specific position information of the bus in a time sequence, setting Wi-Fi and Bluetooth equipment on the bus, and detecting the MAC address information of surrounding electronic equipment; taking time matching as a bonding point, carrying out the deep fusion and mining of two types of data, taking R software and ArcGis as the analysis technology support, proposing a data rationality discrimination method and a non-passenger impurity data cleaning method, carrying out the calibration and verification of key parameters in the method according to real passenger OD data, and finally forming the technology of discriminating the passenger flow O-D time-space distribution on a bus route. The method can achieve the recognition, prediction and diagnosis of the passenger flow demands of the bus route,and provides the information support for the design of the bus route, the optimization of departure frequency and the real-time dispatching of vehicles.

Description

technical field [0001] The invention relates to an intelligent traffic management method, in particular to a method for estimating the passenger flow OD of a bus line based on Wi-Fi and Bluetooth identification. Background technique [0002] At this stage, "big data" and "Internet +" have become research hotspots in today's era, and the transportation industry has begun to move towards "intelligence" and "autonomous control". Keeping up with the hot spots of the times and using new methods and means to solve the problem of urban traffic congestion is a new challenge and new opportunity for the transportation industry. According to statistics, the Wi-Fi coverage rate of existing urban buses has reached more than 70%. Using existing Wi-Fi+Bluetooth detection equipment to detect passenger travel information is an innovative, practical, convenient and feasible new method and new idea. [0003] Existing bus passenger flow estimation methods include IC card detection method, Wi-F...

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): G08G1/01H04W4/021H04W4/029H04W4/80
CPCG08G1/0125
Inventor 于维杰李志斌陆钥王礼睿王诗菡张应恒杨昊明
Owner SOUTHEAST 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