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annotate python/traffic_engineering.py @ 58:40e1508380ed

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developed indicator classes
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Fri, 29 Oct 2010 01:54:11 -0400
parents 911b52744ceb
children 930a6282c9a9
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1 #! /usr/bin/env python
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2 ''' Traffic Engineering Tools.'''
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3
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4 from math import ceil
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5
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6 __metaclass__ = type
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7
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8 #########################
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9 # traffic signals
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10 #########################
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11
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12 class Volume:
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13 '''Class to represent volumes with varied vehicule types '''
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14 def __init__(self, volume, types = ['pc'], proportions = [1], equivalents = [1], nLanes = 1):
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15 '''mvtEquivalent is the equivalent if the movement is right of left turn'''
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16
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17 # check the sizes of the lists
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18 if sum(proportions) == 1:
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19 self.volume = volume
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20 self.types = types
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21 self.proportions = proportions
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22 self.equivalents = equivalents
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23 self.nLanes = nLanes
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24 else:
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25 pass
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26
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27 def getPCEVolume(self):
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28 '''Returns the passenger-car equivalent for the input volume'''
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29 v = 0
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30 for p, e in zip(self.proportions, self.equivalents):
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31 v += p*e
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32 return v*self.volume
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33
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34 class IntersectionMovement:
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35 '''Represents an intersection movement
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36 with a volume, a type (through, left or right)
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37 and an equivalent for movement type'''
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38 def __init__(self, volume, type, mvtEquivalent = 1):
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39 self.volume = volume
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40 self.type = type
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41 self.mvtEquivalent = mvtEquivalent
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42
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43 def getTVUVolume(self):
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44 return self.mvtEquivalent*self.volume.getPCEVolume()
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45
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46 class IntersectionApproach:
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47 def __init__(self, leftTurnVolume, throughVolume, rightTurnVolume):
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48 self.leftTurnVolume = leftTurnVolume
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49 self.throughVolume = throughVolume
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50 self.rightTurnVolume = rightTurnVolume
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51
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52 def getTVUVolume(self, leftTurnEquivalent = 1, throughEquivalent = 1, rightTurnEquivalent = 1):
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53 return self.leftTurnVolume.getPCEVolume()*leftTurnEquivalent+self.throughVolume.getPCEVolume()*throughEquivalent+self.rightTurnVolume.getPCEVolume()*rightTurnEquivalent
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54
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55 class LaneGroup:
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56 '''Class that represents a group of mouvements'''
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57
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58 def __init__(self, movements, nLanes):
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59 self.movements = movements
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60 self.nLanes = nLanes
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61
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62 def getTVUVolume(self):
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63 return sum([mvt.getTVUVolume() for mvt in self.movements])
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64
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65 def checkProtectedLeftTurn(leftMvt, opposedThroughMvt):
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66 '''Checks if one of the main two conditions on left turn is verified
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67 The lane groups should contain left and through movement'''
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68 return leftMvt.volume >= 200 or leftMvt.volume*opposedThroughMvt.volume/opposedThroughMvt.nLanes > 50000
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69
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70 def optimalCycle(lostTime, criticalCharge, rounding=True):
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71 if rounding:
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72 return ceil((1.5*lostTime+5)/(1-criticalCharge))
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73 else:
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74 return (1.5*lostTime+5)/(1-criticalCharge)
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75
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76 class Cycle:
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77 '''Class to compute optimal cycle and the split of effective green times'''
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78 def __init__(self, phases, lostTime, saturationVolume):
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79 '''phases is a list of phases
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80 a phase is a list of lanegroups'''
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81 self.phases = phases
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82 self.lostTime = lostTime
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83 self.saturationVolume = saturationVolume
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84
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85 def computeCycle(self):
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86 self.criticalCharges = []
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87 for phase in self.phases:
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88 self.criticalCharges.append(max([lg.getTVUVolume() for lg in phase])/(lg.nLanes*self.saturationVolume))
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89
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90 self.criticalCharge = sum(self.criticalCharges)
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91 self.C0 = optimalCycle(self.lostTime, self.criticalCharge)
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92 return self.C0
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93
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94 def computeEffectiveGreen(self):
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95 from numpy import round
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96 self.computeCycle() # in case it was not done before
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97 effectiveGreenTime = self.C0-self.lostTime
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98 self.effectiveGreens = [round(c*effectiveGreenTime/self.criticalCharge,1) for c in self.criticalCharges]
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99 return self.effectiveGreens
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100
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101
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102 def computeInterGreen(perceptionReactionTime, initialSpeed, intersectionLength, vehicleAverageLength = 6, deceleration = 3):
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103 '''Computes the intergreen time (yellow/amber plus all red time)
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104 Deceleration is positive
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105 All variables should be in the same units'''
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106 if deceleration > 0:
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107 return [perceptionReactionTime+float(initialSpeed)/(2*deceleration), float(intersectionLength+vehicleAverageLength)/initialSpeed]
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108 else:
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109 print 'Issue deceleration should be strictly positive'
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110 return None
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111
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112 def uniformDelay(cycleLength, effectiveGreen, saturationDegree):
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113 '''Computes the uniform delay'''
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114 return 0.5*cycleLength*(1-float(effectiveGreen)/cycleLength)/(1-float(effectiveGreen*saturationDegree)/cycleLength)