Method for data collection and OD (Origin-Destination) analysis of public transport passenger flow based on WIFI identity recognition

A technology for identity recognition and passenger flow data, which is applied to instruments, time registers, and individual input/output registers, etc. It can solve problems such as large differences and achieve high accuracy.

Inactive Publication Date: 2014-04-02
NO 33 RES INST OF CHINA ELECTRONICS TECHNOOGY GRP
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Problems solved by technology

All these methods are assumed to be carried out under some ideal co

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  • Method for data collection and OD (Origin-Destination) analysis of public transport passenger flow based on WIFI identity recognition
  • Method for data collection and OD (Origin-Destination) analysis of public transport passenger flow based on WIFI identity recognition

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Embodiment Construction

[0031] A bus passenger flow data collection and OD analysis method based on WIFI identification is to set AP hotspots on the bus, read the MAC address of the WIFI device held by the passenger, use the MAC address to identify the identity of the passenger, and store the MAC address Go to the MAC address list in the AP; through the statistics of the MAC addresses in the list, the total number of passengers getting on and off the bus and the WIFI passengers at the section can be obtained, and the total number of passengers getting on and off at each station and the exit platform can be obtained through mathematical operations Finally, the total number of people on the bus; establish a detailed information database of passengers on the bus, store the data in the data table, and obtain the OD matrix between all bus stops in the entire city by querying and analyzing the data table.

[0032] The storage method of the MAC address is to select any of the following processing methods acc...

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Abstract

The invention provides a method for the data collection and the OD (Origin-Destination) analysis of public transport passenger flow data based on WIFI (Wireless Fidelity) identity recognition. The method comprises the following steps: arranging an AP (Access Point) hot spot on a bus, reading the MAC (Media Access Control) addresses of WIFI equipment which are held by passengers, utilizing the MAC addresses to recognize the identities of the passengers, and storing the MAC addresses in a MAC address list in an AP; obtaining the total number of the WIFI passengers getting on/off the bus and the WIFI passengers on a cross section through the statistics of the MAC addresses in the list, and obtaining the total number of the passengers getting on/off each station and the total number of the passengers on the bus after the bus is driven away from the station through mathematic operation; establishing a detailed information database of the passengers taking the bus, storing data in a data table, and obtaining an OD matrix between all bus stations in the whole city through the query and the analysis of the data table. The real-time statistics and OD analysis of the passenger flow are combined, and the results are more real. The accuracy rate becomes increasingly higher. With the gradual increase of the popularization rate of intelligent mobile phones, the accuracy rate of the system is also gradually increased.

Description

technical field [0001] The invention provides a method for data collection, specifically, a method for data collection and OD analysis of bus passenger flow based on WIFI identification. Background technique [0002] At present, there are mainly the following methods for obtaining bus passenger flow data collection and OD information: 1) Manual collection: the starting point and destination are recorded by a special person or the passenger himself, such as the small ticket method, etc. The disadvantage is that it is not only time-consuming and laborious, but also accurate counting The rate is easily affected by artificial subjective factors; 2) Use automatic passenger flow counting equipment: including pedal type, infrared type, video analysis and other counting methods. These methods are more accurate when the passenger flow is small, but when the passenger flow is peak, the accuracy rate is relatively low, and can only identify the number of people getting on and off the b...

Claims

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Application Information

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IPC IPC(8): G07C9/00
Inventor 张游杰张清萍相国柱杨新社
Owner NO 33 RES INST OF CHINA ELECTRONICS TECHNOOGY GRP
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