Stage-2023/test/model.py
2023-07-28 18:06:19 +02:00

57 lines
1.4 KiB
Python

import numpy as np
import matplotlib.pyplot as plt
import time
t0 = 0
tf = 20
# tf=3
dt = 1
t = t0
U = 1.25 # vitesse m.s-¹
Wm = 0.3 # distance minimale entre la voiture et celle qui la précède m
Ws = 0.9 # m
ww = np.linspace(0, 10, 200)
def phi(ww): # prend en entrée la distance entre les deux véhicules
PHI = (U*(1 - np.exp(- (ww-Wm)/Ws)))
return (ww >= Wm)* PHI # retourne la vitesse du véhicule
y = np.linspace(0, 0, 11)
xxbase = np.linspace(0, 1, 11)
def position(fposition):
dist = np.diff(fposition)
vitesses = phi(dist)
newv = np.insert(vitesses, 10, 1.25)
newp = fposition + newv * dt
return newp
xxold = xxbase.copy()
while(t<=tf):
plt.figure(1,figsize=[12,5])
# plt.clf()
plt.xlim([-1,30])
plt.ylim([-1, 21])
xx = position(xxold)
color = ['#ff0000', '#ff5300', '#ffa500', '#ffd200', '#ffff00', '#80c000', '#008000', '#004080', '#0000ff', '#2600c1', '#4b0082']
# plt.plot([0,20],[t, t], color='k', linestyle='-', linewidth=1)
plt.scatter(xx, np.linspace(t, t, 11), c=color)
plt.xlabel('distance w en m', )
plt.ylabel('temps en s')
# plt.title("Modélisation de l'évolution de la distance entre les voitures\n\nau temps t = " + str(t) + 's')
plt.draw()
if t == 20:
plt.savefig('test/model/frame_' + str(t)+'.png')
plt.pause(0.2)
t += dt
xxold = xx.copy()