File size: 7,344 Bytes
baa3847 | 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 | INFO: Pandarallel will run on 8 workers.
INFO: Pandarallel will use Memory file system to transfer data between the main process and workers.
Selecting 5.0% vehicles from 125739 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/00_traj_1329.0.json.gz
Loading a file takes 52.82s
Creating data frames takes 26.63s
Filling data types and values takes 35.71s
Processing a file takes 23.79s
Concatenating time series takes 0.58s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/01_traj_2217.0.json.gz
Loading a file takes 55.30s
Creating data frames takes 38.13s
Filling data types and values takes 6.09s
Processing a file takes 17.58s
Concatenating time series takes 0.29s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/02_traj_3106.0.json.gz
Loading a file takes 53.53s
Creating data frames takes 37.04s
Filling data types and values takes 5.67s
Processing a file takes 18.79s
Concatenating time series takes 0.38s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/03_traj_3983.0.json.gz
Loading a file takes 54.74s
Creating data frames takes 31.05s
Filling data types and values takes 5.67s
Processing a file takes 18.40s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/04_traj_4834.0.json.gz
Loading a file takes 56.30s
Creating data frames takes 24.46s
Filling data types and values takes 5.70s
Processing a file takes 19.21s
Concatenating time series takes 0.40s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/05_traj_5684.0.json.gz
Loading a file takes 56.58s
Creating data frames takes 29.37s
Filling data types and values takes 5.72s
Processing a file takes 33.41s
Concatenating time series takes 0.51s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/06_traj_6511.0.json.gz
Loading a file takes 60.52s
Creating data frames takes 39.77s
Filling data types and values takes 6.97s
Processing a file takes 31.55s
Concatenating time series takes 0.60s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/07_traj_7400.0.json.gz
Loading a file takes 64.79s
Creating data frames takes 32.67s
Filling data types and values takes 6.06s
Processing a file takes 20.59s
Concatenating time series takes 0.84s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/08_traj_end.json.gz
Loading a file takes 7.93s
Creating data frames takes 2.43s
Filling data types and values takes 0.37s
Processing a file takes 9.30s
Concatenating time series takes 0.38s
Saving all the section time series takes 80.15s
Saving all the junction time series takes 11.01s
Saving network entrance and exit takes 0.09s
Aggregating the raw statistics to different intervals...
0%| | 0/1516 [00:00<?, ?it/s]
0%| | 1/1516 [00:00<10:52, 2.32it/s]
0%| | 2/1516 [00:00<08:23, 3.01it/s]
5%|β | 83/1516 [00:00<00:08, 159.70it/s]
8%|β | 118/1516 [00:00<00:07, 196.43it/s]
10%|β | 150/1516 [00:01<00:06, 197.61it/s]
12%|ββ | 178/1516 [00:01<00:06, 196.42it/s]
13%|ββ | 203/1516 [00:01<00:06, 188.99it/s]
15%|ββ | 226/1516 [00:01<00:06, 190.26it/s]
17%|ββ | 252/1516 [00:01<00:06, 200.22it/s]
18%|ββ | 279/1516 [00:01<00:05, 216.03it/s]
20%|ββ | 305/1516 [00:01<00:05, 226.02it/s]
22%|βββ | 329/1516 [00:02<00:19, 60.80it/s]
23%|βββ | 353/1516 [00:03<00:15, 76.34it/s]
26%|βββ | 395/1516 [00:03<00:09, 115.14it/s]
28%|βββ | 420/1516 [00:03<00:08, 127.06it/s]
29%|βββ | 445/1516 [00:03<00:07, 144.82it/s]
31%|βββ | 470/1516 [00:03<00:06, 159.31it/s]
33%|ββββ | 493/1516 [00:03<00:06, 163.75it/s]
34%|ββββ | 515/1516 [00:03<00:05, 167.09it/s]
35%|ββββ | 536/1516 [00:03<00:05, 168.13it/s]
37%|ββββ | 556/1516 [00:04<00:05, 165.21it/s]
38%|ββββ | 576/1516 [00:04<00:05, 173.12it/s]
39%|ββββ | 597/1516 [00:04<00:05, 180.66it/s]
41%|ββββ | 617/1516 [00:04<00:04, 185.70it/s]
42%|βββββ | 638/1516 [00:04<00:04, 190.13it/s]
43%|βββββ | 658/1516 [00:04<00:04, 187.53it/s]
45%|βββββ | 678/1516 [00:04<00:04, 184.70it/s]
46%|βββββ | 697/1516 [00:04<00:04, 182.77it/s]
47%|βββββ | 716/1516 [00:04<00:04, 183.77it/s]
48%|βββββ | 735/1516 [00:04<00:04, 177.11it/s]
50%|βββββ | 754/1516 [00:05<00:04, 180.31it/s]
51%|βββββ | 773/1516 [00:05<00:04, 170.74it/s]
52%|ββββββ | 795/1516 [00:05<00:03, 182.25it/s]
54%|ββββββ | 815/1516 [00:05<00:03, 187.22it/s]
55%|ββββββ | 840/1516 [00:05<00:03, 194.76it/s]
57%|ββββββ | 866/1516 [00:05<00:03, 210.68it/s]
59%|ββββββ | 891/1516 [00:05<00:02, 217.72it/s]
60%|ββββββ | 913/1516 [00:05<00:02, 204.46it/s]
62%|βββββββ | 935/1516 [00:05<00:02, 206.25it/s]
64%|βββββββ | 969/1516 [00:06<00:02, 241.75it/s]
66%|βββββββ | 994/1516 [00:06<00:02, 242.54it/s]
67%|βββββββ | 1022/1516 [00:06<00:01, 249.39it/s]
69%|βββββββ | 1048/1516 [00:06<00:01, 249.23it/s]
71%|βββββββ | 1075/1516 [00:06<00:01, 253.09it/s]
73%|ββββββββ | 1103/1516 [00:06<00:01, 254.36it/s]
74%|ββββββββ | 1129/1516 [00:06<00:01, 235.37it/s]
76%|ββββββββ | 1155/1516 [00:06<00:01, 240.15it/s]
79%|ββββββββ | 1191/1516 [00:06<00:01, 270.95it/s]
80%|ββββββββ | 1219/1516 [00:07<00:01, 234.96it/s]
83%|βββββββββ | 1251/1516 [00:07<00:01, 255.07it/s]
84%|βββββββββ | 1281/1516 [00:07<00:00, 265.99it/s]
86%|βββββββββ | 1309/1516 [00:07<00:00, 262.61it/s]
88%|βββββββββ | 1336/1516 [00:07<00:00, 248.40it/s]
90%|βββββββββ | 1362/1516 [00:08<00:02, 57.32it/s]
91%|ββββββββββ| 1384/1516 [00:09<00:01, 69.76it/s]
93%|ββββββββββ| 1406/1516 [00:09<00:01, 84.45it/s]
94%|ββββββββββ| 1427/1516 [00:09<00:00, 100.19it/s]
95%|ββββββββββ| 1447/1516 [00:09<00:00, 110.01it/s]
97%|ββββββββββ| 1476/1516 [00:09<00:00, 140.80it/s]
99%|ββββββββββ| 1501/1516 [00:09<00:00, 161.51it/s]
100%|ββββββββββ| 1516/1516 [00:09<00:00, 158.15it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...
|