Study on the spatio-temporal distribution characteristics of bus full-load ratio under big data

In view of the demand for the information of full-load rate in bus dispatching and the inaccuracy of calculating the full-load rate in big data environment, a full-load rate estimation model based on bus big data is constructed, combining the IC card information of bus, bus GPS information, bus station information and bus information, this paper deduces the bus station from the boarding station of the passengers, and puts forward the calculation method of the index of bus full load rate based on the IC card of bus, the real-time estimation of full-load ratio and the analysis of the space-time distribution of the full-load ratio are realized, the characteristics of the space-time distribution of the high-load ratio lines in a certain area are revealed, and the key bus corridors in a certain area are explored. Through case analysis, it is found that, compared with the traditional survey method, the calculation of bus full load ratio based on bus IC card information can find more accurate maximum passenger flow section and get more accurate calculation results, the calculation process is more efficient and can save manpower effectively. It can provide reference for the same city to calculate the index of city bus full load rate and analyze the characteristics of city bus passengers.