SimBarca / simulation_sessions /session_009 /processing_log.log
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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 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
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
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
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
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
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
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
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
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
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%|β–ˆβ– | 176/1522 [00:01<00:06, 200.73it/s] 16%|β–ˆβ–Œ | 238/1522 [00:01<00:05, 214.70it/s] 19%|β–ˆβ–‰ | 287/1522 [00:01<00:05, 224.04it/s] 22%|β–ˆβ–ˆβ– | 328/1522 [00:03<00:12, 96.77it/s] 23%|β–ˆβ–ˆβ–Ž | 357/1522 [00:03<00:10, 111.63it/s] 26%|β–ˆβ–ˆβ–Œ | 392/1522 [00:03<00:08, 135.31it/s] 28%|β–ˆβ–ˆβ–Š | 423/1522 [00:03<00:07, 156.02it/s] 30%|β–ˆβ–ˆβ–‰ | 454/1522 [00:03<00:06, 173.99it/s] 32%|β–ˆβ–ˆβ–ˆβ– | 483/1522 [00:03<00:05, 183.14it/s] 34%|β–ˆβ–ˆβ–ˆβ–Ž | 510/1522 [00:03<00:05, 180.36it/s] 35%|β–ˆβ–ˆβ–ˆβ–Œ | 534/1522 [00:03<00:05, 178.79it/s] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 556/1522 [00:04<00:05, 172.73it/s] 38%|β–ˆβ–ˆβ–ˆβ–Š | 581/1522 [00:04<00:04, 188.56it/s] 40%|β–ˆβ–ˆβ–ˆβ–‰ | 603/1522 [00:04<00:05, 182.27it/s] 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 626/1522 [00:04<00:04, 192.10it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 651/1522 [00:04<00:04, 205.63it/s] 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 674/1522 [00:04<00:04, 199.78it/s] 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 699/1522 [00:04<00:03, 209.14it/s] 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 726/1522 [00:04<00:03, 221.65it/s] 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 749/1522 [00:04<00:03, 220.15it/s] 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 772/1522 [00:05<00:03, 197.11it/s] 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 793/1522 [00:05<00:03, 187.75it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 814/1522 [00:05<00:03, 191.23it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 834/1522 [00:05<00:03, 191.91it/s] 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 858/1522 [00:05<00:03, 204.86it/s] 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 882/1522 [00:05<00:03, 211.62it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 904/1522 [00:05<00:03, 204.67it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 929/1522 [00:05<00:02, 210.83it/s] 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 960/1522 [00:05<00:02, 230.33it/s] 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 991/1522 [00:06<00:02, 246.93it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1016/1522 [00:06<00:02, 243.11it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1041/1522 [00:06<00:02, 229.12it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1065/1522 [00:06<00:02, 226.77it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1092/1522 [00:06<00:01, 238.10it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1118/1522 [00:06<00:01, 243.38it/s] 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1143/1522 [00:06<00:01, 242.17it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1176/1522 [00:06<00:01, 264.90it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1203/1522 [00:06<00:01, 259.81it/s] 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1230/1522 [00:06<00:01, 262.20it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1259/1522 [00:07<00:00, 267.90it/s] 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1287/1522 [00:07<00:00, 266.93it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1314/1522 [00:07<00:00, 265.97it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1341/1522 [00:07<00:00, 241.56it/s] 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1366/1522 [00:08<00:02, 75.10it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1390/1522 [00:08<00:01, 92.70it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1413/1522 [00:08<00:00, 110.91it/s] 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1439/1522 [00:08<00:00, 133.60it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1461/1522 [00:08<00:00, 147.74it/s] 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1483/1522 [00:08<00:00, 159.80it/s] 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 1511/1522 [00:08<00:00, 184.42it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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 ...