Multidimensional characteristic attribute mining method and apparatus of bus lines, and electronic equipment

Abstract

The invention provides a multidimensional characteristic attribute mining method and apparatus of bus lines, and electronic equipment. The method includes: obtaining map data, bus station data and busline data from a map application interface API, and collecting smart bus card data SCD and user point of interest POI data; extracting the length of each bus line from the bus line data; calculatingthe all-time passenger flow volume of each bus line based on the smart bus card data, the bus station data and the bus line data; and determining the function theme distribution and the administrativedivision distribution of each bus line based on the map data, the POI data, the bus station data and the bus line data. According to the method and apparatus, and the electronic equipment, multidimensional characteristic attribute mining of the bus lines is realized so that the bus lines related to the advertising requirements and intensions can be matched based on the multidimensional characteristic attributes of the bus lines, the delivery scheme of the bus lines can be made in a targeted manner, and the advertising effect is guaranteed.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence and big data, in particular to a method, device and electronic equipment for mining multi-dimensional feature attributes of bus lines. Background technique [0002] With the development of cities and public transport systems, public transport has become one of the most important means of transportation for urban residents, and it is also a very penetrating outdoor advertising medium. Although the bus carries a large number of user groups every day, the target advertising revenue has not been very effective. The main reason is that it still relies on the traditional simple and rough pricing method, which is generally based on the urban area covered by a bus line or the cost of a bus. The number of passengers on board is used to evaluate the effectiveness of advertising on bus routes and set prices. In fact, this cannot scientifically assess the actual ad delivery performance-to-re...

AI Technical Summary

Problems solved by technology

[0003] Due to the variety and complexity of urban bus lines, the passenger flow at bus stations varies greatly at different times. In addition, each bus line will pass through different functional areas and different types of passengers, resulting in different advertising effects in different fields. Therefore, relying solely on bus lines Length and passenger flow are difficult to scientifically and accurately evaluate the effect of advertising routes, and it is urgent to solve this problem

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