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#!/usr/bin/env python
import xml.dom.minidom as dom
from genRoutes import *
import subprocess, sys
from changeNet import *
from pylab import *
import libxml2
durWE = []
durNS = []
routeLenWE = []
routeLenNS = []
minTravelTime = 69.0
def evalTrips(begin, N):
global durWE, durNS
doc = libxml2.parseFile('tripinfo.txt')
lastTWE = max([int(d.content) for d in doc.xpathEval("/tripinfos/tripinfo[@vtype='carRight']/@depart")])
lastTNS = max([int(d.content) for d in doc.xpathEval("/tripinfos/tripinfo[@vtype='carDown']/@depart")])
nWE = len(doc.xpathEval("/tripinfos/tripinfo[@vtype='carRight']"))
nNS = len(doc.xpathEval("/tripinfos/tripinfo[@vtype='carDown']"))
durWE = [int(d.content) for d in doc.xpathEval("/tripinfos/tripinfo[@vtype='carRight'][@depart>%d]/@duration" % begin)]
durNS = [int(d.content) for d in doc.xpathEval("/tripinfos/tripinfo[@vtype='carDown'][@depart>%d]/@duration" % begin)]
doc.freeDoc()
inputNS = nNS * 3600.0 / N
inputWE = nWE * 3600.0 / N
flowNS = nNS * 3600.0 / lastTNS
flowWE = nWE * 3600.0 / lastTWE
return inputWE, inputNS, flowWE, flowNS
def getAvgDelayWE():
# avgRouteLen = sum(routeLenWE) / len(routeLenWE)
# minTravelTime = avgRouteLen / (16.67 - 0.5 * 0.5 * 2.6) # maxspeed - 0.5 * sigma * accel
return (1.0 * sum(durWE)/len(durWE) - minTravelTime)
def getAvgDelayNS():
# avgRouteLen = sum(routeLenNS) / len(routeLenNS)
# minTravelTime = avgRouteLen / (16.67 - 0.5 * 0.5 * 2.6) # maxspeed - 0.5 * sigma * accel
return (1.0 * sum(durNS)/len(durNS) - minTravelTime)
def getAvgDelay():
# avgRouteLen = (sum(routeLenWE)+sum(routeLenNS)) / (len(routeLenWE)+len(routeLenNS))
# minTravelTime = avgRouteLen / (16.67 - 0.5 * 0.5 * 2.6) # maxspeed - 0.5 * sigma * accel
return (1.0 * (sum(durWE)+sum(durNS))/(len(durWE)+len(durNS)) - minTravelTime)
def getAvgGreenTime(intergreen1, intergreen2):
doc = libxml2.parseFile('tls.out')
lNS = doc.xpathEval("count(/tls-states/tlsstate[@phase='0'])")
lWE = doc.xpathEval("count(/tls-states/tlsstate[@phase='2'])")
lIG1 = doc.xpathEval("count(/tls-states/tlsstate[@phase='1'])")
lIG2 = doc.xpathEval("count(/tls-states/tlsstate[@phase='3'])")
doc.freeDoc()
greenNS = lNS / ceil((lIG1 / intergreen1))
greenWE = lWE / ceil((lIG2 / intergreen2))
return greenWE, greenNS
def getSaturationFlow():
genRoutes(300, 'u', 3600, 'u', 0, 'u', 0, 'u', 0)
gui = False
setTLType('sumoConfig\cross_sat\cross_sat.net.xml', 'static')
changePhaseDurations('sumoConfig\cross_sat\cross_sat.net.xml', 1800, 6, 300, 6)
if gui:
sumoExe = "guisim"
sumoConfig = "sumoConfig\cross_sat\cross_sat.sumocfg"
sumoProcess = subprocess.Popen("%s -c %s" % (sumoExe, sumoConfig), shell=True, stdout=sys.stdout)
else:
sumoExe = "sumo"
sumoConfig = "sumoConfig\cross_sat\cross_sat.sumocfg"
sumoProcess = subprocess.Popen("%s -c %s --no-duration-log --no-step-log --time-to-teleport 10000000" % (sumoExe, sumoConfig), shell=True, stdout=sys.stdout)
sumoProcess.wait()
doc = libxml2.parseFile('sumoConfig\cross_sat\cross.out')
veh = [int(d.content) for d in doc.xpathEval("/detector/interval[@id='SAT']/@nVehEntered")]
doc.freeDoc()
sumVeh = [sum(veh[1:(i+1)]) for i in range(len(veh))]
xSat = range(323,538)
ySat = sumVeh[323:538]
[aSat,b] = linreg(xSat,ySat)
print 'Saturation flow: ', aSat * 3600
ySatN = [aSat*xSat[i]+b for i in range(len(xSat))]
x = range(700,850)
y = sumVeh[700:850]
[a,b] = linreg(x,y)
print 'Saturation flow 2: ', a * 3600
ynew = [a*x[i]+b for i in range(len(x))]
# plot(range(len(veh)), sumVeh, xSat, ySatN, x, ynew)
# legend(('Anzahl Fahrzeuge', 'saturation flow = %f' % (aSat * 3600), 'flow = %f' % (a * 3600)))
# xlabel('Time t')
# ylabel('# vehicles')
#
# show()
return (aSat * 3600)
def getMinTravelTime():
genRoutes(1, 'u', 1, 'u', 0, 'u', 0, 'u', 0)
gui = False
setTLType('sumoConfig\one_intersection\cross.net.xml', 'static')
changePhaseDurations('sumoConfig\one_intersection\cross.net.xml', 1000, 6, 1, 6)
if gui:
sumoExe = "guisim"
sumoConfig = "sumoConfig\one_intersection\cross.sumocfg"
sumoProcess = subprocess.Popen("%s -c %s" % (sumoExe, sumoConfig), shell=True, stdout=sys.stdout)
else:
sumoExe = "sumo"
sumoConfig = "sumoConfig\one_intersection\cross.sumocfg"
sumoProcess = subprocess.Popen("%s -c %s --no-duration-log --no-step-log --time-to-teleport 10000000" % (sumoExe, sumoConfig), shell=True, stdout=sys.stdout)
sumoProcess.wait()
doc = libxml2.parseFile('tripinfo.txt')
travelDur = int(doc.xpathEval("/tripinfos/tripinfo/@duration")[0].content)
doc.freeDoc()
return travelDur
# Webster formula
def getOptGreenTimes(satFlowRateWE, satFlowRateNS, intergreenLengthWE, intergreenLengthNS):
L = intergreenLengthWE + intergreenLengthNS
Y = satFlowRateWE + satFlowRateNS
C = (5 + 1.5 * L) / (1 - Y)
GWE = (C - L) * satFlowRateWE / Y
GNS = (C - L) * satFlowRateNS / Y
return GWE, GNS
# linear regression
def linreg(X, Y):
"""
Summary
Linear regression of y = ax + b
Usage
real, real = linreg(list, list)
Returns coefficients to the regression line "y=ax+b" from x[] and y[]
"""
if len(X) != len(Y): raise ValueError, 'unequal length'
N = len(X)
Sx = Sy = Sxx = Syy = Sxy = 0.0
for x, y in map(None, X, Y):
Sx = Sx + x
Sy = Sy + y
Sxx = Sxx + x*x
Syy = Syy + y*y
Sxy = Sxy + x*y
det = Sxx * N - Sx * Sx
a, b = (Sxy * N - Sy * Sx)/det, (Sxx * Sy - Sx * Sxy)/det
return a, b
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