Commuting private car identification method based on electronic license plate data

Abstract

The invention relates to a commuting private car identification method based on electronic license plate data, belongs to the technical field of traffic, and particularly relates to the technical field of electronic license plate data recognition and traffic planning. The method is based on RFID electronic license plate data, and specifically comprises the following steps: S1, extracting a privatecar track as basic data; S2, extracting private car travel data; S3, dividing regular travel behaviors according to the private car travel data; and S4, identifying the commuting person of the private car to realize the identification of the commuting private car. According to the method, on the basis of extracting and considering the consistency of the traveler origin point O and the destinationpoint D, the traveler travel path consistency is considered by using the hierarchical clustering method, so that the problems in the prior art can be well solved, commuting private car identificationcan be well carried out, and the method has a relatively good application prospect.

Description

technical field [0001] The invention belongs to the technical field of traffic, in particular to the technical field of electronic license plate data recognition and traffic planning, and relates to a commuter private car identification method based on electronic license plate data. Background technique [0002] With the development of society and economy, the number of motor vehicles and per capita ownership in my country has been increasing, and people are more inclined to use motor vehicles to commute by themselves, which has brought certain pressure to road traffic, especially during peak hours. Reasonable planning of traffic roads and inducing residents to take public transportation are the key to alleviating road traffic pressure. Among them, the acquisition of motor vehicle commuters is the basis of road planning and induced travel. Therefore, accurate acquisition of motor vehicle commuters in intelligent traffic field appears to be crucial. [0003] Current research...

AI Technical Summary

Problems solved by technology

[0003] Current research on commuters mainly focuses on public transportation. However, buses only account for a small part of urban road traffic, and the results obtained by analyzing public transportation travel data cannot represent the overall commuting status of the entire city.

In fact, private cars are the main part of urban road traffic, but private car owners are reluctant to provide GPS trajectory data due to privacy concerns

With the rapid development of sensing technology, urban traffic information can be collected in a variety of ways, such as surveillance cameras, underground loop detectors, etc., but due to the limitations of the above-mentioned equipment due to bad weather and vehicle recognition speed, as well as insufficient vehicle information collected Comprehensive, etc., information collection is often not accurate enough or lacks sufficient data volume

At the same time, the existing commuter identification methods are mainly based on whether the traveler has a fixed origin and destination, while ignoring the fact that commuters often choose a fixed travel route

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