function [ ret ] = gen_passenger() %UNTITLED3 Summary of this function goes here % Detailed explanation goes here %(108->109.4),(34->34.7) % xmax = 111*cos(pi*34/180)*1.4 = 129 % ymax = 0.7*111 = 78 xmax = 111*cos(pi*34/180)*1.4/10; ymax = 0.7*111/10; ux = xmax/2;uy = ymax/2; sigmax = xmax/2/3;sigmay = ymax/2/3; th = 6.5/((pi/2)^0.5); while(1) xs = normrnd(ux,sigmax);%出发点横坐标 ys = normrnd(uy,sigmay);%出发点纵坐标 if xs<0 || xs>xmax || ys<0 || ys > ymax continue end d_go = sqrt(-2*th^2*log(1-rand()))/10;%出行距离 degree = 2*pi*rand();%出行角度 xd = xs + d_go.*cos(degree); yd = ys + d_go.*sin(degree); if(xd>=0 && xd<=xmax && yd>=0 && yd<=ymax) ret = [xs,ys,xd,yd,d_go]; break end end，把上面代码用Python实现

以下是将MATLAB代码转换为Python代码的实现：

import numpy as np

def gen_passenger():
    xmax = 111 * np.cos(np.pi * 34 / 180) * 1.4 / 10
    ymax = 0.7 * 111 / 10
    ux = xmax / 2
    uy = ymax / 2
    sigmax = xmax / 2 / 3
    sigmay = ymax / 2 / 3
    th = 6.5 / ((np.pi / 2) ** 0.5)
    
    while True:
        xs = np.random.normal(ux, sigmax)
        ys = np.random.normal(uy, sigmay)
        if xs < 0 or xs > xmax or ys < 0 or ys > ymax:
            continue
        d_go = np.sqrt(-2 * th ** 2 * np.log(1 - np.random.rand())) / 10
        degree = 2 * np.pi * np.random.rand()
        xd = xs + d_go * np.cos(degree)
        yd = ys + d_go * np.sin(degree)
        if xd >= 0 and xd <= xmax and yd >= 0 and yd <= ymax:
            ret = [xs, ys, xd, yd, d_go]
            break
            
    return ret

注意：Python中没有MATLAB中的`continue`语句，可以使用`if`语句来达到相同的效果。另外，Python中的`np.random.normal()`函数与MATLAB中的`normrnd()`函数实现相同的随机正态分布。