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comparison trafficintelligence/tests/events.txt @ 1267:ad60e5adf084

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cleaned interaction categorization and added stationary category
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 29 May 2024 09:52:42 -0400
parents af329f3330ba
children ca70a79688ae
comparison
equal deleted inserted replaced
1266:ebb18043616e 1267:ad60e5adf084
57 >>> from numpy import pi 57 >>> from numpy import pi
58 >>> o1 = MovingObject.generate(0, Point(0,0), Point(1,0), TimeInterval(0,100)) 58 >>> o1 = MovingObject.generate(0, Point(0,0), Point(1,0), TimeInterval(0,100))
59 >>> o2 = MovingObject.generate(0, Point(100,1), Point(-1,0), TimeInterval(0,100)) 59 >>> o2 = MovingObject.generate(0, Point(100,1), Point(-1,0), TimeInterval(0,100))
60 >>> inter12 = Interaction(roadUser1 = o1, roadUser2 = o2) 60 >>> inter12 = Interaction(roadUser1 = o1, roadUser2 = o2)
61 >>> inter12.computeIndicators() 61 >>> inter12.computeIndicators()
62 >>> inter12.categorize(pi*20/180, pi*60/180) 62 >>> inter12.categorize(pi*20/180, pi*45/180)
63 >>> Counter(inter12.categories.values()).most_common()[0][0] # head on 63 >>> Counter(inter12.categories.values()).most_common()[0][0] # head on
64 0 64 0
65 >>> inter12.categories[max(inter12.categories.keys())] # then side 65 >>> inter12.categories[max(inter12.categories.keys())] # then side
66 2 66 2
67 >>> o3 = MovingObject.generate(0, Point(0,2), Point(1,0), TimeInterval(0,100)) 67 >>> o3 = MovingObject.generate(0, Point(0,2), Point(1,0), TimeInterval(0,100))
68 >>> inter13 = Interaction(roadUser1 = o1, roadUser2 = o3) 68 >>> inter13 = Interaction(roadUser1 = o1, roadUser2 = o3)
69 >>> inter13.computeIndicators() 69 >>> inter13.computeIndicators()
70 >>> inter13.categorize(pi*20/180, pi*60/180) 70 >>> inter13.categorize(pi*20/180, pi*45/180)
71 >>> Counter(inter13.categories.values()).most_common()[0][0] # parallel 71 >>> Counter(inter13.categories.values()).most_common()[0][0] # parallel
72 3 72 3
73 >>> len(Counter(inter13.categories.values())) 73 >>> len(Counter(inter13.categories.values()))
74 1 74 1
75 >>> o4 = MovingObject.generate(0, Point(100,20), Point(-1,0), TimeInterval(0,100)) 75 >>> o4 = MovingObject.generate(0, Point(100,20), Point(-1,0), TimeInterval(0,100))
76 >>> inter14 = Interaction(roadUser1 = o1, roadUser2 = o4) 76 >>> inter14 = Interaction(roadUser1 = o1, roadUser2 = o4)
77 >>> inter14.computeIndicators() 77 >>> inter14.computeIndicators()
78 >>> inter14.categorize(pi*20/180, pi*60/180) 78 >>> inter14.categorize(pi*20/180, pi*45/180)
79 >>> Counter(inter14.categories.values()).most_common()[0][0] # side 79 >>> Counter(inter14.categories.values()).most_common()[0][0] # side
80 2 80 2
81 >>> inter12.categories[0] # first head one 81 >>> inter12.categories[0] # first head on
82 0 82 0
83 >>> inter12.categories[max(inter12.categories.keys())] # then side 83 >>> inter12.categories[max(inter12.categories.keys())] # then side
84 2 84 2
85 >>> o5 = MovingObject.generate(0, Point(50,50), Point(0,-1), TimeInterval(0,100)) 85 >>> o5 = MovingObject.generate(0, Point(50,50), Point(0,-1), TimeInterval(0,100))
86 >>> inter15 = Interaction(roadUser1 = o1, roadUser2 = o5) 86 >>> inter15 = Interaction(roadUser1 = o1, roadUser2 = o5)
87 >>> inter15.computeIndicators() 87 >>> inter15.computeIndicators()
88 >>> inter15.categorize(pi*20/180, pi*60/180) 88 >>> inter15.categorize(pi*20/180, pi*45/180)
89 >>> Counter(inter15.categories.values()).most_common()[0][0] # side 89 >>> Counter(inter15.categories.values()).most_common()[0][0] # side
90 2 90 2
91 >>> len(Counter(inter15.categories.values())) 91 >>> len(Counter(inter15.categories.values()))
92 1 92 1
93 >>> o6 = MovingObject.generate(0, Point(50,1), Point(0,0), TimeInterval(0,100))
94 >>> inter16 = Interaction(roadUser1 = o1, roadUser2 = o6)
95 >>> inter16.computeIndicators()
96 >>> inter16.categorize(pi*20/180, pi*45/180, speedThreshold = 0.1)
97 >>> Counter(inter16.categories.values()).most_common()[0][0] # stationary
98 4
99 >>> 49 in inter16.categories
100 True
101 >>> 51 in inter16.categories # not stationary interaction past the user
102 False