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Trip mode identification method and system based on mobile phone positioning data

A technology of positioning data and travel mode, applied in the field of intelligent transportation, can solve the problem of less research on mobile phone data

Pending Publication Date: 2022-01-11
邢吉平
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are few studies on the use of real mobile phone data processed by positioning algorithms.

Method used

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  • Trip mode identification method and system based on mobile phone positioning data
  • Trip mode identification method and system based on mobile phone positioning data
  • Trip mode identification method and system based on mobile phone positioning data

Examples

Experimental program
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Effect test

Embodiment

[0121] The road network within 5 kilometers around the Nanjing High-speed Railway Station in Nanjing City, Jiangsu Province is selected to divide the travel mode and estimate the traffic volume. The research road network is about an area of ​​80 square kilometers. There are a total of 99 two-way road sections within the research scope, of which 27 road sections are equipped with LPR detector equipment, and these road sections can obtain the real traffic of the road section. The real traffic of the other 72 road sections is unknown, and can be estimated by the method provided by Benqumall. In addition, the road network includes sections of different road grades such as trunk roads, secondary trunk roads, and branch roads.

[0122] The data selected for travel pattern recognition and traffic flow estimation is mainly mobile phone positioning data processed by mobile phone triangulation positioning technology (TDOA), and the positioning accuracy of this data is about 50-150m. Am...

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PUM

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Abstract

The invention relates to a trip mode identification method and system based on mobile phone signaling data. The trip mode identification method comprises the following steps: acquiring mobile phone triangular positioning data in a to-be-analyzed area within a period of time; screening out vehicle-mounted mobile phone user data running in an actual road, and forming a running track of a vehicle-mounted mobile phone user; using the area difference value between the tracks of the vehicle-mounted mobile phone users as input, performing support tree pruning by a minimum support tree algorithm to form a clustering result; and regarding the number of the vehicle-mounted mobile phone users of the same type in the clustering result as travelers taking the same vehicle at the same time, and identifying the travel mode of the vehicle-mounted mobile phone users as independent travel, shared travel or bus travel. The minimum support tree clustering method based on the graph theory is innovatively provided for the screened vehicle-mounted mobile phone users, and travel mode division can be accurately carried out according to the positioning tracks of the vehicle-mounted mobile phone users.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a method and system for identifying a travel mode based on mobile phone positioning data. Background technique [0002] With the improvement of mobile phone positioning accuracy, mobile phone triangulation positioning data can increase mobile phone positioning data from 50 to 100m. The main application is also mainly in the analysis of travel behavior of travelers and the analysis of traffic status (traffic speed, travel time, etc.) of expressways. However, in previous studies on traffic state estimation based on mobile phone data, the number of individual mobile phone users is usually regarded as an independent vehicle, but in fact the mobile phone data does not consider the difference between mobile phone users and actual vehicles, as well as the Differences between mobile phone users' travel modes. [0003] Currently there are still the following problems:...

Claims

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Application Information

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IPC IPC(8): G06V10/762G08G1/01H04W4/029
CPCG08G1/012H04W4/029G06F18/2323
Inventor 邢吉平霍锦彪张媛杨逊
Owner 邢吉平