File size: 8,281 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 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | 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 151855 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/00_traj_1298.5.json.gz
Loading a file takes 53.36s
Creating data frames takes 19.32s
Filling data types and values takes 5.91s
Processing a file takes 18.19s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/01_traj_1992.0.json.gz
Loading a file takes 55.50s
Creating data frames takes 21.15s
Filling data types and values takes 5.82s
Processing a file takes 17.08s
Concatenating time series takes 0.28s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/02_traj_2638.5.json.gz
Loading a file takes 55.34s
Creating data frames takes 20.29s
Filling data types and values takes 5.88s
Processing a file takes 16.73s
Concatenating time series takes 0.30s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/03_traj_3270.5.json.gz
Loading a file takes 50.85s
Creating data frames takes 21.22s
Filling data types and values takes 5.48s
Processing a file takes 16.13s
Concatenating time series takes 0.36s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/04_traj_3899.5.json.gz
Loading a file takes 52.76s
Creating data frames takes 21.61s
Filling data types and values takes 5.68s
Processing a file takes 17.39s
Concatenating time series takes 0.39s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/05_traj_4501.5.json.gz
Loading a file takes 49.96s
Creating data frames takes 20.06s
Filling data types and values takes 5.23s
Processing a file takes 16.44s
Concatenating time series takes 0.37s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/06_traj_5123.0.json.gz
Loading a file takes 47.01s
Creating data frames takes 19.91s
Filling data types and values takes 5.32s
Processing a file takes 16.44s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/07_traj_5748.0.json.gz
Loading a file takes 54.45s
Creating data frames takes 19.67s
Filling data types and values takes 5.70s
Processing a file takes 17.45s
Concatenating time series takes 0.62s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/08_traj_6376.5.json.gz
Loading a file takes 57.47s
Creating data frames takes 19.74s
Filling data types and values takes 5.86s
Processing a file takes 17.41s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/09_traj_7008.5.json.gz
Loading a file takes 59.22s
Creating data frames takes 20.37s
Filling data types and values takes 5.96s
Processing a file takes 19.90s
Concatenating time series takes 1.13s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/trajectory/10_traj_end.json.gz
Loading a file takes 48.80s
Creating data frames takes 17.46s
Filling data types and values takes 5.00s
Processing a file takes 18.23s
Concatenating time series takes 0.63s
Saving all the section time series takes 89.16s
Saving all the junction time series takes 13.44s
Saving network entrance and exit takes 0.09s
Aggregating the raw statistics to different intervals...
0%| | 0/1521 [00:00<?, ?it/s]
0%| | 1/1521 [00:00<09:19, 2.72it/s]
0%| | 6/1521 [00:00<01:38, 15.37it/s]
4%|β | 60/1521 [00:00<00:09, 158.14it/s]
6%|β | 95/1521 [00:00<00:06, 209.46it/s]
8%|β | 126/1521 [00:00<00:05, 233.79it/s]
10%|β | 155/1521 [00:00<00:06, 210.84it/s]
12%|ββ | 180/1521 [00:01<00:06, 210.28it/s]
13%|ββ | 204/1521 [00:01<00:06, 200.09it/s]
15%|ββ | 226/1521 [00:01<00:06, 194.14it/s]
17%|ββ | 254/1521 [00:01<00:05, 214.32it/s]
18%|ββ | 277/1521 [00:01<00:05, 214.16it/s]
20%|ββ | 300/1521 [00:01<00:05, 215.36it/s]
21%|ββ | 323/1521 [00:02<00:20, 58.58it/s]
23%|βββ | 350/1521 [00:02<00:14, 78.56it/s]
26%|βββ | 388/1521 [00:02<00:10, 112.76it/s]
27%|βββ | 417/1521 [00:03<00:08, 136.64it/s]
29%|βββ | 442/1521 [00:03<00:07, 149.57it/s]
31%|βββ | 466/1521 [00:03<00:06, 160.24it/s]
32%|ββββ | 489/1521 [00:03<00:06, 156.79it/s]
33%|ββββ | 509/1521 [00:03<00:06, 163.40it/s]
35%|ββββ | 529/1521 [00:03<00:06, 164.79it/s]
36%|ββββ | 548/1521 [00:03<00:06, 153.95it/s]
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38%|ββββ | 583/1521 [00:04<00:06, 154.48it/s]
39%|ββββ | 600/1521 [00:04<00:06, 150.88it/s]
41%|ββββ | 620/1521 [00:04<00:05, 161.70it/s]
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44%|βββββ | 668/1521 [00:04<00:04, 198.30it/s]
45%|βββββ | 689/1521 [00:04<00:04, 185.27it/s]
47%|βββββ | 709/1521 [00:04<00:04, 175.24it/s]
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62%|βββββββ | 941/1521 [00:06<00:03, 185.37it/s]
63%|βββββββ | 965/1521 [00:06<00:02, 198.43it/s]
65%|βββββββ | 991/1521 [00:06<00:02, 212.92it/s]
67%|βββββββ | 1014/1521 [00:06<00:02, 216.74it/s]
68%|βββββββ | 1036/1521 [00:06<00:02, 206.91it/s]
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89%|βββββββββ | 1356/1521 [00:07<00:00, 220.63it/s]
91%|βββββββββ | 1379/1521 [00:09<00:02, 49.15it/s]
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100%|ββββββββββ| 1521/1521 [00:09<00:00, 153.76it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_041/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...
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