Highway network user portrait information acquisition and analysis method and system

Abstract

The invention discloses a highway user portrait data acquisition and analysis method and system. A user portrait technology is used, an ETC user portrait construction scheme model is established, an ETC user portrait analysis prototype system is developed, labels such as user basic attributes, user consumption, user travel space-time habits, user value, user activity and user credit are constructed for highway ETC users, and the users are described and depicted from multiple angles. Travel habits of different users on the basis of user grouping are described and further relevance, difference and underlying reasons of passenger car and truck travel are analyzed. From the perspective of time, influences of holidays, days and nights and the like on user travel are analyzed. The system is designed based on the proposed ETC user portrait model, an SQL database and a python language. The invention has the advantages of being efficient in use, low in operation cost, high in result real-time performance and the like, and the actual application requirements can be met.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and relates to a method for acquiring and analyzing portrait information of expressway network users and a computer system thereof. Background technique [0002] In recent years, my country's expressways have developed rapidly. The expressway network has connected more than 300 of the 467 cities in the country, covering a population of more than 1 billion. At the end of 2017, the total mileage of national highways reached 4.7735 million kilometers, 5.2 times that at the end of 1984. Among them, the expressway reached 136,500 kilometers, ranking first in the world in terms of mileage. [0003] With the improvement of the expressway network, the popularization of vehicles among the people and the increasingly close connection between cities, the traffic flow of expressways has increased year by year, generating a large amount of vehicle traffic data. However, these massive vehi...

AI Technical Summary

Problems solved by technology

However, these massive vehicle traffic data lack reasonable and effective analysis methods

The in-depth analysis and analysis of the behavior habits and traffic patterns of vehicle users (including ETC users) are still blank, which restricts many upcoming high-speed vehicle business applications

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