Commuting traveling characteristic analysis method based on license plate data

Abstract

The invention provides a commuting traveling characteristic analysis method based on license plate data. The method includes: (1) acquiring detection data of road network intelligent toll-gate devices and urban static information; (2) performing data quality examination on vehicle license plate original data detected by the intelligent toll-gate devices, obtaining effective vehicle license plate data, integrating the effective data according to a time sequence, and analyzing the traveling types of the vehicles; (3) extracting license plate data information of urban commuting vehicles, and constructing traveling chain data of the commuting vehicles; and (4) performing statistics on traveling information of the commuting travelling vehicles, analyzing the resident leisure activity condition, the resident commuting traveling time and distance, and the resident traveling demand, and obtaining a resident traveling rule. According to the method, the commuting traveling characteristics of resident private vehicles are analyzed through data of a lot of license plates, statistics and analysis of the resident traveling demands are realized, support data is supported for a traffic planning model, the traffic demand management level is improved, and the problem of traffic jam is effectively alleviated.

Description

technical field [0001] The invention relates to a method for analyzing commuting travel characteristics based on number plate data. Background technique [0002] With the advancement of urbanization and the steady development of the social economy, the contradiction between supply and demand in the urban transportation system has become increasingly intensified. Traffic congestion has become a common problem in major cities, affecting the daily operation of urban residents and bringing hidden dangers to the development of cities. . A large number of studies have shown that solving the problem of urban traffic congestion can start from increasing traffic supply and managing traffic demand. Traffic demand management has become a research focus in the field of transportation. The analysis of residents' travel characteristics provides support for traffic demand management. [0003] The traditional analysis of residents’ travel characteristics relies on residents’ travel surveys...

AI Technical Summary

Problems solved by technology

However, in the face of the increase in car ownership and the diversity of residents' leisure life, the existing analysis technology mainly focuses on commuting by public transportation, and lacks the analysis of the characteristics of the travel mode of residents' private car travel. Activities, the purpose of residents’ travel is not limited to commuting to work, school, etc. The existing travel characteristics analysis lacks the analysis of the characteristics of residents’ travel behaviors other than commuting, and the development of urban transportation has driven the emergence of inter-city commuting patterns. Lack of statistical analysis of such intercity commuting

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