def __init__(self, vehID, initspeed=None, maxaccel=1., DELTAT=0.1):
self.ID = vehID
self.speed = None
self.obstacles = {}
self.maxAccel = maxaccel
if initspeed is None:
self.speedCommand = []
else:
self.speedCommand = [initspeed]
self.DELTAT = DELTAT
self.egoPredictor = CV_line(None, 'S2N')
self.predictor = CV_line(None, 'E2W')
def __init__(self, vehID, initspeed=None, maxaccel=1., DELTAT=0.1):
self.ID = vehID
self.speed = None
self.obstacles = {}
self.maxAccel = maxaccel
if initspeed is None:
self.speedCommand = []
else:
self.speedCommand = [initspeed]
self.DELTAT = DELTAT
self.egoPredictor = CV_line(None, 'S2N')
self.predictor = CV_line(None, 'E2W')
class Inter1ControlSmart:
speedMode = 6 #only physics checks
laneChangeMode = 69 # no lane change for speed purposes
def __init__(self, vehID, initspeed=None, maxaccel=1., DELTAT=0.1):
self.ID = vehID
self.speed = None
self.obstacles = {}
self.maxAccel = maxaccel
if initspeed is None:
self.speedCommand = []
else:
self.speedCommand = [initspeed]
self.DELTAT = DELTAT
self.egoPredictor = CV_line(None, 'S2N')
self.predictor = CV_line(None, 'E2W')
def updateSpeed(self, speed):
self.speed = speed
def nextStep(self, vehicles):
if len(self.speedCommand)==0:
self.newSpeedCommand()
mystate = None # first find own information
for vstate in vehicles:
if vstate.vehID == self.ID:
mystate = vstate2df(vstate)
if mystate is None:
print "no find self"
return self.speedCommand.pop()
mystate.time = 1
myfuture = self.egoPredictor.predict(mystate, np.arange(0.5,2.1,.1))
for vstate in vehicles: # check each other vehicle for collision
if vstate.vehID != self.ID:
otherfuture = self.predictor.predict(vstate2df(vstate),
np.arange(0.5,2.1,.1))
for ptime in range(myfuture.shape[0]):
myfutureloc = myfuture.iloc[ptime]
otherfutureloc = otherfuture.iloc[ptime]
#print 'checking'
#print str(myfutureloc.x)+", "+str(myfutureloc.y)
#print str(otherfutureloc.x)+", "+str(otherfutureloc.y)
if collisionCheck.check(myfutureloc, otherfutureloc):
print "collision detected in "+str(ptime/10.+.3)+" s"
self.speedCommand = ( list(np.arange(20/.447,0,-.1)) +
[0.]*5 +
list(np.arange(0,self.speed,.5)) )
self.speedCommand.pop()
return self.speedCommand.pop()
return self.speedCommand.pop()
def newSpeedCommand(self):
MPH2MS = .447
chosenSpeed = truncatedNormal(self.speed/MPH2MS, 10, 20, 50)*MPH2MS
chosenAccel = random.uniform(0,self.maxAccel) * self.DELTAT
meanTime = 2.0 # seconds
chosenTime = np.floor(random.expovariate(1/meanTime) / self.DELTAT) + 1
accelPeriod = np.arange(chosenSpeed, self.speed,
chosenAccel*np.sign(self.speed-chosenSpeed))
if chosenTime <= len(accelPeriod):
self.speedCommand = accelPeriod[-chosenTime:].tolist()
else:
steadyPeriod = [chosenSpeed]*(chosenTime-len(accelPeriod))
self.speedCommand = steadyPeriod + accelPeriod.tolist()
print "chosen speed " +str(chosenSpeed)
class Inter1ControlSmart:
speedMode = 6 #only physics checks
laneChangeMode = 69 # no lane change for speed purposes
def __init__(self, vehID, initspeed=None, maxaccel=1., DELTAT=0.1):
self.ID = vehID
self.speed = None
self.obstacles = {}
self.maxAccel = maxaccel
if initspeed is None:
self.speedCommand = []
else:
self.speedCommand = [initspeed]
self.DELTAT = DELTAT
self.egoPredictor = CV_line(None, 'S2N')
self.predictor = CV_line(None, 'E2W')
def updateSpeed(self, speed):
self.speed = speed
def nextStep(self, vehicles):
if len(self.speedCommand) == 0:
self.newSpeedCommand()
mystate = None # first find own information
for vstate in vehicles:
if vstate.vehID == self.ID:
mystate = vstate2df(vstate)
if mystate is None:
print "no find self"
return self.speedCommand.pop()
mystate.time = 1
myfuture = self.egoPredictor.predict(mystate, np.arange(0.5, 2.1, .1))
for vstate in vehicles: # check each other vehicle for collision
if vstate.vehID != self.ID:
otherfuture = self.predictor.predict(vstate2df(vstate),
np.arange(0.5, 2.1, .1))
for ptime in range(myfuture.shape[0]):
myfutureloc = myfuture.iloc[ptime]
otherfutureloc = otherfuture.iloc[ptime]
#print 'checking'
#print str(myfutureloc.x)+", "+str(myfutureloc.y)
#print str(otherfutureloc.x)+", "+str(otherfutureloc.y)
if collisionCheck.check(myfutureloc, otherfutureloc):
print "collision detected in " + str(ptime / 10. +
.3) + " s"
self.speedCommand = (
list(np.arange(20 / .447, 0, -.1)) + [0.] * 5 +
list(np.arange(0, self.speed, .5)))
self.speedCommand.pop()
return self.speedCommand.pop()
return self.speedCommand.pop()
def newSpeedCommand(self):
MPH2MS = .447
chosenSpeed = truncatedNormal(self.speed / MPH2MS, 10, 20, 50) * MPH2MS
chosenAccel = random.uniform(0, self.maxAccel) * self.DELTAT
meanTime = 2.0 # seconds
chosenTime = np.floor(
random.expovariate(1 / meanTime) / self.DELTAT) + 1
accelPeriod = np.arange(
chosenSpeed, self.speed,
chosenAccel * np.sign(self.speed - chosenSpeed))
if chosenTime <= len(accelPeriod):
self.speedCommand = accelPeriod[-chosenTime:].tolist()
else:
steadyPeriod = [chosenSpeed] * (chosenTime - len(accelPeriod))
self.speedCommand = steadyPeriod + accelPeriod.tolist()
print "chosen speed " + str(chosenSpeed)