使用MATLAB对46834组公交行程时间数据分不同交通流饱和度区间、

Use MATLAB to calculate and fit 46834 groups of bus travel time data into different traffic flow saturation intervals and different road intervals. The reliability of bus travel time is linearly related to the reciprocal of bus travel time per unit distance, and the fitted The slope and intercept are calibrated to obtain the relationship between the reciprocal of the bus travel time per unit distance and the reliability of the bus travel time in different saturation intervals and different road intervals shown in Table 8. Corr in the table represents the correlation coefficient, and N represents the sample size

MATLAB was used to analyze and fit the 46834 bus travel time data into different traffic flow saturation intervals and different road intervals, to obtain the linear relationship between bus travel time reliability and the inverted number of bus travel time per unit from bus travel time, and to rate the fitted slope and intercept distance, to obtain the relationship between the different saturation intervals shown in Table 8, the countdown of unit distance bus travel time in different road intervals and the reliability of bus travel time

Using MATLAB, 46834 groups of bus travel time data are divided into different traffic flow saturation intervals and different road sections for statistics and fitting. The linear relationship between the reliability of bus travel time and the reciprocal of unit distance bus travel time is obtained, and the slope and intercept of the fitting are analyzed The relationship between the reciprocal of bus travel time per unit distance and the reliability of bus travel time is obtained in Table 8. The correlation coefficient and the sample size are shown in Table 8<br>