Mercurial Hosting > traffic-intelligence

comparison python/moving.py @ 551:dc3739ac2371

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
rearranged all distance computations between points
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Tue, 08 Jul 2014 16:59:35 -0400
parents 5668af2ff515
children ca6bded754ac
comparison
equal deleted inserted replaced
550:5668af2ff515 551:dc3739ac2371
810 axis('equal') 810 axis('equal')
811 figure(2) 811 figure(2)
812 plot(list(self.getTimeInterval()), speeds) 812 plot(list(self.getTimeInterval()), speeds)
813 813
814 @staticmethod 814 @staticmethod
815 def distances(obj1, obj2, instant): 815 def distances(obj1, obj2, instant1, _instant2 = None):
816 from scipy.spatial.distance import cdist 816 from scipy.spatial.distance import cdist
817 positions1 = [f.getPositionAtInstant(instant).astuple() for f in obj1.features if f.existsAtInstant(instant)] 817 if _instant2 == None:
818 positions2 = [f.getPositionAtInstant(instant).astuple() for f in obj2.features if f.existsAtInstant(instant)] 818 instant2 = instant1
819 return cdist(positions1, positions2, metric = 'euclidean') 819 else:
820 820 instant2 = _instant2
821 @staticmethod
822 def minDistance(obj1, obj2, instant):
823 return MovingObject.distances(obj1, obj2, instant).min()
824
825 @staticmethod
826 def distances2(obj1, obj2, instant1,instant2):
827 from scipy.spatial.distance import cdist
828 positions1 = [f.getPositionAtInstant(instant1).astuple() for f in obj1.features if f.existsAtInstant(instant1)] 821 positions1 = [f.getPositionAtInstant(instant1).astuple() for f in obj1.features if f.existsAtInstant(instant1)]
829 positions2 = [f.getPositionAtInstant(instant2).astuple() for f in obj2.features if f.existsAtInstant(instant2)] 822 positions2 = [f.getPositionAtInstant(instant2).astuple() for f in obj2.features if f.existsAtInstant(instant2)]
830 return cdist(positions1, positions2, metric = 'euclidean') 823 return cdist(positions1, positions2, metric = 'euclidean')
831 824
832 @staticmethod 825 @staticmethod
833 def minDistance2(obj1, obj2, instant1,instant2): 826 def minDistance(obj1, obj2, instant1, instant2 = None):
834 return MovingObject.distances2(obj1, obj2, instant1,instant2).min() 827 return MovingObject.distances(obj1, obj2, instant1, instant2).min()
835 828
836 @staticmethod 829 @staticmethod
837 def maxDistance(obj1, obj2, instant): 830 def maxDistance(obj1, obj2, instant, instant2 = None):
838 return MovingObject.distances(obj1, obj2, instant).max() 831 return MovingObject.distances(obj1, obj2, instant1, instant2).max()
839 832
840 def maxSize(self): 833 def maxSize(self):
841 '''Returns the max distance between features 834 '''Returns the max distance between features
842 at instant there are the most features''' 835 at instant there are the most features'''
843 if hasattr(self, 'features'): 836 if hasattr(self, 'features'):
975 if areas[userTypename][p.x, p.y] != 0: 968 if areas[userTypename][p.x, p.y] != 0:
976 possibleUserTypes[userType2Enum[userTypename]] += 1 969 possibleUserTypes[userType2Enum[userTypename]] += 1
977 # what to do: threshold for most common type? self.setUserType() 970 # what to do: threshold for most common type? self.setUserType()
978 return possibleUserTypes 971 return possibleUserTypes
979 972
980
981 @staticmethod 973 @staticmethod
982 def collisionCourseDotProduct(movingObject1, movingObject2, instant): 974 def collisionCourseDotProduct(movingObject1, movingObject2, instant):
983 'A positive result indicates that the road users are getting closer' 975 'A positive result indicates that the road users are getting closer'
984 deltap = movingObject1.getPositionAtInstant(instant)-movingObject2.getPositionAtInstant(instant) 976 deltap = movingObject1.getPositionAtInstant(instant)-movingObject2.getPositionAtInstant(instant)
985 deltav = movingObject2.getVelocityAtInstant(instant)-movingObject1.getVelocityAtInstant(instant) 977 deltav = movingObject2.getVelocityAtInstant(instant)-movingObject1.getVelocityAtInstant(instant)