Newer
Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
using RidePooling
RP = RidePooling
using DataFrames
using Measurements
import Base.Filesystem
FS = Base.Filesystem
path = "/project.dcf/poss/datasets/planned_pickup/drive_and_wait/anywt1_anydt01/"
model_path = path * "/models/"
# Values I want to calculate for every model
req_quantitys_mean = [
:relative_delay,
#:delay,
#:relative_waiting_time,
#:waiting_time,
#:served,
#:requested_distance,
#:requested_time,
#:total_time,
#:travelling_time,
#:resubmitted_served_percentage,
#:dt_earliest_served,
#:dt_earliest,
#:relative_dt_earliest
]
req_quantitys_sum = [
:count_req,
#:resubmitted_all,
#:resubmitted_served,
]
bus_quantitys = [
:cooldown_time,
]
model_quantitys = [
:driven_distance,
#:efficiency,
#:quality
]
results = DataFrame()
results[:index] = Int[]
results[:dt_earliest_pickup] = Float64[]
results[:weight] = Float64[]
results[:resubmission_time_factor] = Float64[]
results[:ν] = Float64[]
results[:request_type] = Any[]
for quan in req_quantitys_mean
results[quan] = Measurement[]
end
for quan in req_quantitys_sum
results[quan] = Float64[]
end
for quan in bus_quantitys
results[quan] = Measurement[]
end
for quan in model_quantitys
results[quan] = Measurement[]
end
filenames = readdir(model_path, join=true)
for model_nr in filenames
model=loadmodel(model_nr)
row = Dict()
row[:index] = parse(Int, FS.splitext(model_nr)[1])
row[:dt_earliest_pickup] = model.random_gens[model.request_type][2]
row[:idle_wight] = model.cost_idle_weight
row[:ν] = model.ν
row[:to] = model.t0
row[:request_type] = model.request_type
for quan in req_quantitys_mean
row[quan] = ev.quantity(quan, model_now)
end
for quan in req_quantitys_sum
row[quan] = ev.sum(quan, model)
end
for quan in bus_quantitys
row[quan] = ev.quantity(quan, model.agents, model)
end
for quan in model_quantitys
f = @eval (ev.$quan)
row[quan] = f(model)
end
using Serialization
push!(results, row)
end
using Serialization
serialize(path*"results.jls", df)