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A vehicle recognition method for commuting mode based on license plate recognition data

A license plate recognition and vehicle recognition technology, applied in data processing applications, character and pattern recognition, instruments, etc., can solve problems such as large amount of abnormal data, inaccurate analysis of commuting travel behavior, and less research on commuting travel behavior, so as to achieve a deeper understanding Effect

Active Publication Date: 2021-06-08
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The previous analysis of commuting behavior mainly relied on questionnaire survey data, but the questionnaire data has problems such as small data volume and many abnormal data, so the analysis of commuting travel behavior based on questionnaire survey data is often inaccurate
At present, there are some studies on the analysis of travel behavior based on license plate recognition data, most of which are based on simple clustering techniques to classify road network vehicles, and there are few studies on targeted analysis of commuting travel behavior

Method used

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  • A vehicle recognition method for commuting mode based on license plate recognition data
  • A vehicle recognition method for commuting mode based on license plate recognition data
  • A vehicle recognition method for commuting mode based on license plate recognition data

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Embodiment Construction

[0058] The method of the present invention will be further described below in conjunction with the accompanying drawings and specific examples.

[0059] Taking the license plate recognition data of several working days in a certain city as an example, the vehicle recognition in commuting mode is carried out as follows:

[0060] 1. Based on the license plate recognition data, 9 indicators reflecting commuting behavior are extracted

[0061] (1) The morning and evening peak hours are determined

[0062] The license plate recognition data is used to obtain the first trip detection time of each working day and the last detection time of each working day for all traveling vehicles. Then take 30 minutes as a time interval, divide a day into 48 time intervals, and use 1-48 as the index of each time interval, 1 represents 00:00-00:30, 2 represents 00:30-01:00, ···, 48 represents 23:30-24:00. These integer values ​​are defined as "detected time index", and the line graphs of "detect...

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Abstract

The invention provides a vehicle recognition method in a commuting mode based on license plate recognition data. Using license plate recognition data, this method designs and extracts 9 indicators reflecting commuting behavior, and then conducts random sampling from the entire sample, and uses factor analysis to synthesize the 9 indicators into m factors. Based on these m factors, the iterative self-organizing data analysis algorithm (ISODATA) is used for the identification of commuting mode vehicles. Finally, the decision tree model is used to extract the commuting rules, and to identify the commuting mode vehicles in the whole sample. This method can accurately identify vehicles with commuting patterns, and provide support for commuter vehicle management, bus network optimization, and bus design formulation.

Description

technical field [0001] The invention relates to a vehicle recognition method in a commuting mode based on license plate recognition data, which belongs to the field of urban road traffic. Background technique [0002] Commuting is one of the main travel purposes of the vast majority of travelers, especially in the morning and evening peak hours, where commuting takes up a larger proportion, so commuting will have a very large impact on road network traffic conditions. The analysis of vehicles in commuting mode can play a role in many aspects. First, understanding commuting behavior can help us understand the distribution of occupations and residences in the area, and then provide support for urban planning, which is very important for urban and rural planners. Second, commuter mode vehicle recognition technology can assist business decision-making. For example, understanding the distribution of commuter vehicles can help taxis and online car-hailing companies allocate vehicl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q50/30
CPCG06F18/23211G06F18/24765G06F18/214G06Q50/40
Inventor 金盛姚文彬胡佑薇
Owner ZHEJIANG UNIV