| INFO: Pandarallel will run on 8 workers. |
| INFO: Pandarallel will use Memory file system to transfer data between the main process and workers. |
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| Selecting 5.0% vehicles from 120846 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_009/trajectory/00_traj_1361.0.json.gz |
| Loading a file takes 53.19s |
| Creating data frames takes 19.79s |
| Filling data types and values takes 5.85s |
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| Processing a file takes 18.66s |
| Concatenating time series takes 0.47s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_009/trajectory/01_traj_2240.5.json.gz |
| Loading a file takes 58.25s |
| Creating data frames takes 34.18s |
| Filling data types and values takes 5.61s |
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| Processing a file takes 18.06s |
| Concatenating time series takes 0.28s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_009/trajectory/02_traj_3101.5.json.gz |
| Loading a file takes 55.90s |
| Creating data frames takes 30.26s |
| Filling data types and values takes 5.63s |
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| Processing a file takes 18.66s |
| Concatenating time series takes 0.28s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_009/trajectory/03_traj_3936.0.json.gz |
| Loading a file takes 53.75s |
| Creating data frames takes 35.99s |
| Filling data types and values takes 6.28s |
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| Processing a file takes 18.20s |
| Concatenating time series takes 0.43s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_009/trajectory/04_traj_4761.5.json.gz |
| Loading a file takes 57.83s |
| Creating data frames takes 28.18s |
| Filling data types and values takes 5.59s |
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| Processing a file takes 18.13s |
| Concatenating time series takes 0.47s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_009/trajectory/05_traj_5541.0.json.gz |
| Loading a file takes 54.58s |
| Creating data frames takes 25.80s |
| Filling data types and values takes 5.72s |
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| Processing a file takes 26.76s |
| Concatenating time series takes 0.51s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_009/trajectory/06_traj_6316.5.json.gz |
| Loading a file takes 63.99s |
| Creating data frames takes 27.75s |
| Filling data types and values takes 5.83s |
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| Processing a file takes 29.06s |
| Concatenating time series takes 1.11s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_009/trajectory/07_traj_7095.5.json.gz |
| Loading a file takes 63.09s |
| Creating data frames takes 27.31s |
| Filling data types and values takes 5.82s |
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| Processing a file takes 18.95s |
| Concatenating time series takes 1.14s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_009/trajectory/08_traj_end.json.gz |
| Loading a file takes 50.39s |
| Creating data frames takes 17.47s |
| Filling data types and values takes 4.91s |
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|
| Processing a file takes 17.16s |
| Concatenating time series takes 0.48s |
| Saving all the section time series takes 83.94s |
| Saving all the junction time series takes 11.45s |
| Saving network entrance and exit takes 0.09s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1522 [00:00<?, ?it/s]
0%| | 1/1522 [00:00<09:43, 2.60it/s]
0%| | 5/1522 [00:00<02:10, 11.64it/s]
0%| | 7/1522 [00:01<05:07, 4.93it/s]
12%|ββ | 176/1522 [00:01<00:06, 200.73it/s]
16%|ββ | 238/1522 [00:01<00:05, 214.70it/s]
19%|ββ | 287/1522 [00:01<00:05, 224.04it/s]
22%|βββ | 328/1522 [00:03<00:12, 96.77it/s]
23%|βββ | 357/1522 [00:03<00:10, 111.63it/s]
26%|βββ | 392/1522 [00:03<00:08, 135.31it/s]
28%|βββ | 423/1522 [00:03<00:07, 156.02it/s]
30%|βββ | 454/1522 [00:03<00:06, 173.99it/s]
32%|ββββ | 483/1522 [00:03<00:05, 183.14it/s]
34%|ββββ | 510/1522 [00:03<00:05, 180.36it/s]
35%|ββββ | 534/1522 [00:03<00:05, 178.79it/s]
37%|ββββ | 556/1522 [00:04<00:05, 172.73it/s]
38%|ββββ | 581/1522 [00:04<00:04, 188.56it/s]
40%|ββββ | 603/1522 [00:04<00:05, 182.27it/s]
41%|ββββ | 626/1522 [00:04<00:04, 192.10it/s]
43%|βββββ | 651/1522 [00:04<00:04, 205.63it/s]
44%|βββββ | 674/1522 [00:04<00:04, 199.78it/s]
46%|βββββ | 699/1522 [00:04<00:03, 209.14it/s]
48%|βββββ | 726/1522 [00:04<00:03, 221.65it/s]
49%|βββββ | 749/1522 [00:04<00:03, 220.15it/s]
51%|βββββ | 772/1522 [00:05<00:03, 197.11it/s]
52%|ββββββ | 793/1522 [00:05<00:03, 187.75it/s]
53%|ββββββ | 814/1522 [00:05<00:03, 191.23it/s]
55%|ββββββ | 834/1522 [00:05<00:03, 191.91it/s]
56%|ββββββ | 858/1522 [00:05<00:03, 204.86it/s]
58%|ββββββ | 882/1522 [00:05<00:03, 211.62it/s]
59%|ββββββ | 904/1522 [00:05<00:03, 204.67it/s]
61%|ββββββ | 929/1522 [00:05<00:02, 210.83it/s]
63%|βββββββ | 960/1522 [00:05<00:02, 230.33it/s]
65%|βββββββ | 991/1522 [00:06<00:02, 246.93it/s]
67%|βββββββ | 1016/1522 [00:06<00:02, 243.11it/s]
68%|βββββββ | 1041/1522 [00:06<00:02, 229.12it/s]
70%|βββββββ | 1065/1522 [00:06<00:02, 226.77it/s]
72%|ββββββββ | 1092/1522 [00:06<00:01, 238.10it/s]
73%|ββββββββ | 1118/1522 [00:06<00:01, 243.38it/s]
75%|ββββββββ | 1143/1522 [00:06<00:01, 242.17it/s]
77%|ββββββββ | 1176/1522 [00:06<00:01, 264.90it/s]
79%|ββββββββ | 1203/1522 [00:06<00:01, 259.81it/s]
81%|ββββββββ | 1230/1522 [00:06<00:01, 262.20it/s]
83%|βββββββββ | 1259/1522 [00:07<00:00, 267.90it/s]
85%|βββββββββ | 1287/1522 [00:07<00:00, 266.93it/s]
86%|βββββββββ | 1314/1522 [00:07<00:00, 265.97it/s]
88%|βββββββββ | 1341/1522 [00:07<00:00, 241.56it/s]
90%|βββββββββ | 1366/1522 [00:08<00:02, 75.10it/s]
91%|ββββββββββ| 1390/1522 [00:08<00:01, 92.70it/s]
93%|ββββββββββ| 1413/1522 [00:08<00:00, 110.91it/s]
95%|ββββββββββ| 1439/1522 [00:08<00:00, 133.60it/s]
96%|ββββββββββ| 1461/1522 [00:08<00:00, 147.74it/s]
97%|ββββββββββ| 1483/1522 [00:08<00:00, 159.80it/s]
99%|ββββββββββ| 1511/1522 [00:08<00:00, 184.42it/s]
100%|ββββββββββ| 1522/1522 [00:08<00:00, 169.47it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_009/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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