| 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 109514 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/00_traj_1380.0.json.gz |
| Loading a file takes 49.22s |
| Creating data frames takes 19.19s |
| Filling data types and values takes 5.82s |
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|
| Processing a file takes 18.48s |
| Concatenating time series takes 0.47s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/01_traj_2393.0.json.gz |
| Loading a file takes 56.02s |
| Creating data frames takes 21.16s |
| Filling data types and values takes 5.95s |
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| Processing a file takes 17.97s |
| Concatenating time series takes 0.30s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/02_traj_3393.5.json.gz |
| Loading a file takes 55.15s |
| Creating data frames takes 19.75s |
| Filling data types and values takes 5.72s |
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| Processing a file takes 18.29s |
| Concatenating time series takes 0.41s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/03_traj_4398.5.json.gz |
| Loading a file takes 53.82s |
| Creating data frames takes 28.13s |
| Filling data types and values takes 5.83s |
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| Processing a file takes 18.41s |
| Concatenating time series takes 0.81s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/04_traj_5421.0.json.gz |
| Loading a file takes 59.02s |
| Creating data frames takes 25.02s |
| Filling data types and values takes 5.71s |
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|
| Processing a file takes 18.76s |
| Concatenating time series takes 0.41s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/05_traj_6402.5.json.gz |
| Loading a file takes 55.00s |
| Creating data frames takes 31.34s |
| Filling data types and values takes 5.65s |
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|
| Processing a file takes 22.30s |
| Concatenating time series takes 0.75s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/06_traj_7809.0.json.gz |
| Loading a file takes 61.01s |
| Creating data frames takes 23.52s |
| Filling data types and values takes 5.78s |
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| Processing a file takes 20.40s |
| Concatenating time series takes 0.87s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/07_traj_end.json.gz |
| Loading a file takes 3.53s |
| Creating data frames takes 0.22s |
| Filling data types and values takes 0.04s |
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| Processing a file takes 4.43s |
| Concatenating time series takes 0.22s |
| Saving all the section time series takes 74.73s |
| Saving all the junction time series takes 10.12s |
| Saving network entrance and exit takes 0.07s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1515 [00:00<?, ?it/s]
0%| | 1/1515 [00:00<08:47, 2.87it/s]
2%|β | 33/1515 [00:00<00:16, 92.58it/s]
5%|β | 75/1515 [00:00<00:07, 181.12it/s]
8%|β | 115/1515 [00:00<00:05, 241.71it/s]
10%|β | 147/1515 [00:00<00:05, 254.54it/s]
12%|ββ | 178/1515 [00:00<00:05, 247.40it/s]
14%|ββ | 207/1515 [00:01<00:05, 246.43it/s]
16%|ββ | 240/1515 [00:01<00:04, 262.10it/s]
18%|ββ | 268/1515 [00:01<00:05, 245.46it/s]
19%|ββ | 294/1515 [00:01<00:05, 235.28it/s]
21%|ββ | 319/1515 [00:01<00:05, 234.52it/s]
23%|βββ | 344/1515 [00:02<00:14, 78.52it/s]
25%|βββ | 375/1515 [00:02<00:11, 103.37it/s]
27%|βββ | 407/1515 [00:02<00:08, 132.15it/s]
28%|βββ | 431/1515 [00:02<00:07, 148.13it/s]
30%|βββ | 455/1515 [00:02<00:06, 151.51it/s]
32%|ββββ | 478/1515 [00:02<00:06, 165.53it/s]
33%|ββββ | 500/1515 [00:03<00:05, 170.21it/s]
34%|ββββ | 521/1515 [00:03<00:05, 166.46it/s]
36%|ββββ | 541/1515 [00:03<00:05, 169.61it/s]
37%|ββββ | 560/1515 [00:03<00:05, 174.01it/s]
38%|ββββ | 581/1515 [00:03<00:05, 180.16it/s]
40%|ββββ | 601/1515 [00:03<00:05, 173.64it/s]
41%|ββββ | 624/1515 [00:03<00:04, 188.42it/s]
43%|βββββ | 650/1515 [00:03<00:04, 206.48it/s]
44%|βββββ | 672/1515 [00:03<00:04, 203.88it/s]
46%|βββββ | 696/1515 [00:04<00:03, 212.72it/s]
48%|βββββ | 721/1515 [00:04<00:03, 221.57it/s]
49%|βββββ | 744/1515 [00:04<00:03, 206.84it/s]
51%|βββββ | 766/1515 [00:04<00:03, 190.90it/s]
52%|ββββββ | 786/1515 [00:04<00:04, 179.02it/s]
54%|ββββββ | 811/1515 [00:04<00:03, 196.26it/s]
55%|ββββββ | 832/1515 [00:04<00:03, 198.37it/s]
56%|ββββββ | 854/1515 [00:04<00:03, 202.52it/s]
58%|ββββββ | 881/1515 [00:04<00:02, 221.29it/s]
60%|ββββββ | 906/1515 [00:05<00:02, 229.05it/s]
61%|βββββββ | 930/1515 [00:05<00:02, 223.43it/s]
63%|βββββββ | 953/1515 [00:05<00:02, 224.28it/s]
65%|βββββββ | 982/1515 [00:05<00:02, 241.46it/s]
66%|βββββββ | 1007/1515 [00:05<00:02, 233.26it/s]
68%|βββββββ | 1031/1515 [00:05<00:02, 223.21it/s]
70%|βββββββ | 1057/1515 [00:05<00:02, 221.33it/s]
72%|ββββββββ | 1090/1515 [00:05<00:01, 250.66it/s]
74%|ββββββββ | 1116/1515 [00:05<00:01, 236.20it/s]
75%|ββββββββ | 1141/1515 [00:06<00:01, 227.62it/s]
77%|ββββββββ | 1165/1515 [00:06<00:01, 227.77it/s]
78%|ββββββββ | 1189/1515 [00:06<00:01, 230.01it/s]
80%|ββββββββ | 1213/1515 [00:06<00:01, 231.30it/s]
82%|βββββββββ | 1240/1515 [00:06<00:01, 236.11it/s]
84%|βββββββββ | 1270/1515 [00:06<00:00, 248.31it/s]
85%|βββββββββ | 1295/1515 [00:06<00:00, 243.99it/s]
87%|βββββββββ | 1320/1515 [00:06<00:00, 218.70it/s]
89%|βββββββββ | 1343/1515 [00:06<00:00, 202.12it/s]
90%|βββββββββ | 1365/1515 [00:08<00:02, 52.65it/s]
92%|ββββββββββ| 1389/1515 [00:08<00:01, 68.04it/s]
94%|ββββββββββ| 1419/1515 [00:08<00:01, 92.70it/s]
95%|ββββββββββ| 1441/1515 [00:08<00:00, 109.33it/s]
97%|ββββββββββ| 1466/1515 [00:08<00:00, 123.77it/s]
99%|ββββββββββ| 1498/1515 [00:08<00:00, 156.40it/s]
100%|ββββββββββ| 1515/1515 [00:08<00:00, 171.00it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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