SimBarca / simulation_sessions /session_014 /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 114134 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/00_traj_1361.0.json.gz
Loading a file takes 52.26s
Creating data frames takes 21.01s
Filling data types and values takes 5.85s
Processing a file takes 18.56s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/01_traj_2303.5.json.gz
Loading a file takes 56.75s
Creating data frames takes 23.42s
Filling data types and values takes 5.79s
Processing a file takes 17.91s
Concatenating time series takes 0.28s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/02_traj_3225.0.json.gz
Loading a file takes 57.80s
Creating data frames takes 23.80s
Filling data types and values takes 5.68s
Processing a file takes 18.84s
Concatenating time series takes 0.68s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/03_traj_4114.0.json.gz
Loading a file takes 52.72s
Creating data frames takes 24.84s
Filling data types and values takes 5.78s
Processing a file takes 18.83s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/04_traj_4981.0.json.gz
Loading a file takes 54.83s
Creating data frames takes 19.89s
Filling data types and values takes 5.65s
Processing a file takes 17.76s
Concatenating time series takes 0.47s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/05_traj_5812.5.json.gz
Loading a file takes 51.76s
Creating data frames takes 32.06s
Filling data types and values takes 5.62s
Processing a file takes 23.34s
Concatenating time series takes 0.68s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/06_traj_6647.0.json.gz
Loading a file takes 55.15s
Creating data frames takes 25.14s
Filling data types and values takes 5.24s
Processing a file takes 26.05s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/07_traj_7724.5.json.gz
Loading a file takes 52.68s
Creating data frames takes 32.36s
Filling data types and values takes 5.64s
Processing a file takes 18.56s
Concatenating time series takes 0.66s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/08_traj_end.json.gz
Loading a file takes 14.51s
Creating data frames takes 5.42s
Filling data types and values takes 1.14s
Processing a file takes 7.70s
Concatenating time series takes 0.28s
Saving all the section time series takes 77.25s
Saving all the junction time series takes 10.32s
Saving network entrance and exit takes 0.07s
Aggregating the raw statistics to different intervals...
0%| | 0/1521 [00:00<?, ?it/s] 0%| | 1/1521 [00:00<09:45, 2.60it/s] 1%|▏ | 21/1521 [00:00<00:26, 55.74it/s] 3%|β–Ž | 46/1521 [00:00<00:13, 108.25it/s] 5%|β–Œ | 82/1521 [00:00<00:08, 173.84it/s] 7%|β–‹ | 112/1521 [00:00<00:06, 208.48it/s] 9%|β–‰ | 138/1521 [00:00<00:06, 200.98it/s] 11%|β–ˆ | 162/1521 [00:01<00:06, 205.48it/s] 12%|β–ˆβ– | 187/1521 [00:01<00:06, 213.46it/s] 14%|β–ˆβ– | 219/1521 [00:01<00:05, 241.27it/s] 17%|β–ˆβ–‹ | 252/1521 [00:01<00:04, 260.58it/s] 18%|β–ˆβ–Š | 280/1521 [00:01<00:05, 246.65it/s] 20%|β–ˆβ–ˆ | 306/1521 [00:01<00:04, 244.64it/s] 22%|β–ˆβ–ˆβ– | 332/1521 [00:02<00:15, 77.11it/s] 25%|β–ˆβ–ˆβ– | 378/1521 [00:02<00:09, 118.66it/s] 27%|β–ˆβ–ˆβ–‹ | 417/1521 [00:02<00:07, 154.90it/s] 29%|β–ˆβ–ˆβ–‰ | 448/1521 [00:02<00:06, 174.36it/s] 31%|β–ˆβ–ˆβ–ˆβ– | 477/1521 [00:02<00:05, 184.93it/s] 33%|β–ˆβ–ˆβ–ˆβ–Ž | 504/1521 [00:03<00:05, 185.37it/s] 35%|β–ˆβ–ˆβ–ˆβ– | 529/1521 [00:03<00:05, 184.41it/s] 36%|β–ˆβ–ˆβ–ˆβ–‹ | 552/1521 [00:03<00:05, 175.55it/s] 38%|β–ˆβ–ˆβ–ˆβ–Š | 573/1521 [00:03<00:05, 177.39it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 593/1521 [00:03<00:05, 175.76it/s] 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 612/1521 [00:03<00:05, 178.19it/s] 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 636/1521 [00:03<00:04, 193.86it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 658/1521 [00:03<00:04, 197.37it/s] 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 679/1521 [00:04<00:04, 198.09it/s] 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 704/1521 [00:04<00:03, 210.23it/s] 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 726/1521 [00:04<00:03, 211.11it/s] 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 748/1521 [00:04<00:03, 210.19it/s] 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 770/1521 [00:04<00:03, 195.09it/s] 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 793/1521 [00:04<00:03, 202.29it/s] 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 819/1521 [00:04<00:03, 214.29it/s] 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 845/1521 [00:04<00:03, 224.25it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 868/1521 [00:04<00:02, 220.66it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 900/1521 [00:05<00:02, 243.93it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 925/1521 [00:05<00:02, 243.84it/s] 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 958/1521 [00:05<00:02, 268.29it/s] 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 988/1521 [00:05<00:02, 257.66it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1020/1521 [00:05<00:01, 258.32it/s] 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1048/1521 [00:05<00:01, 261.95it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1076/1521 [00:05<00:01, 265.46it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1103/1521 [00:05<00:01, 264.50it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1130/1521 [00:05<00:01, 260.64it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1160/1521 [00:05<00:01, 270.92it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1190/1521 [00:06<00:01, 278.04it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1218/1521 [00:06<00:01, 263.11it/s] 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1250/1521 [00:06<00:00, 278.25it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1279/1521 [00:06<00:00, 281.39it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1310/1521 [00:06<00:00, 285.27it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1339/1521 [00:06<00:00, 275.13it/s] 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1367/1521 [00:07<00:02, 70.12it/s] 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1394/1521 [00:07<00:01, 87.85it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1420/1521 [00:07<00:00, 107.90it/s] 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1444/1521 [00:08<00:00, 126.22it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1467/1521 [00:08<00:00, 141.51it/s] 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1490/1521 [00:08<00:00, 158.39it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1521/1521 [00:08<00:00, 182.00it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...