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Method for identifying traveling mode of smart phone by considering integrating degree of road network

A travel mode, smart phone technology, applied in character and pattern recognition, computer parts, service based on location information, etc., can solve the problems affecting prediction and judgment, unable to effectively identify and distinguish travel characteristics of different modes of transportation, etc. Achieve the effect of enhancing anti-interference ability and improving recognition accuracy

Active Publication Date: 2017-02-22
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

Since the attributes used for learning in these methods are limited to the displacement change characteristics of behavior trajectories, it is impossible to effectively identify and distinguish the travel characteristics of different transportation modes under the condition of harsh road traffic environment, which seriously affects the prediction of subsequent individual travel modes. and judgment

Method used

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  • Method for identifying traveling mode of smart phone by considering integrating degree of road network
  • Method for identifying traveling mode of smart phone by considering integrating degree of road network
  • Method for identifying traveling mode of smart phone by considering integrating degree of road network

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Embodiment Construction

[0036] The method of the present invention will be described in further detail below in conjunction with the embodiments and the accompanying drawings.

[0037] 1. Data collection, cleaning and classification

[0038] First, according to the test requirements of this method, determine the number of survey samples for the behavior trajectories of various travel modes: according to the existing research results, the sample size for testing the travel mode identification method depends on the speed dispersion of various traffic trips in the research area The degree is calculated by the following formula:

[0039]

[0040] In the formula, q is the survey sample size; CV is the coefficient of variation of the speed, that is, the ratio of the standard deviation of the sample data speed to the average value; Z α refers to the quantile when the confidence level is α in the standard normal distribution. This method uses Z 0.90 The corresponding value is 1.645, that is, only 10% of t...

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Abstract

The invention discloses a method for identifying a traveling mode of a smart phone by considering the integrating degree of a road network. The method comprises the following steps: firstly, collecting data, cleaning and extracting a behavior trace attribute; secondly, constructing a training random forest algorithm and preliminarily identifying the traveling mode; thirdly, construction a public transit network, performing integrating degree matching on the bus line according to a preliminary identifying result, and judging if the spatial-temporal performance characteristics of a track segment conform to the bus operation condition; and finally, correcting the preliminary identifying result and confirming the traveling mode. According to the invention, the matching information of the public transit network is combined with the random forest algorithm, so that the defect that the traditional method cannot resist against the traffic environment interference is overcome and the accuracy of identifying the traveling mode is promoted.

Description

technical field [0001] The invention belongs to the field of travel behavior data collection and analysis in traffic planning, and relates to a smart phone travel mode identification method considering road network fit. Background technique [0002] With the continuous improvement of smart phone information and communication technology, the global positioning system (GPS) module and various sensors have become the standard configuration of mobile phones. Greater convenience and operability. However, different behavioral individuals often adopt different travel strategies in the process of daily activities, which requires an efficient travel mode identification method in the data processing link to obtain accurate individual travel information. [0003] Existing methods for travel mode identification mainly analyze the characteristics of individual travel trajectories such as speed and acceleration, and apply supervised or unsupervised machine learning algorithms (such as su...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62H04W4/02G06Q50/26
CPCH04W4/029G06F16/29G06Q50/26G06F18/2415G06F18/214
Inventor 季彦婕刘阳高良鹏周洋樊海润
Owner SOUTHEAST UNIV
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