File size: 6,659 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 | 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 116246 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_008/trajectory/00_traj_1362.5.json.gz
Loading a file takes 52.32s
Creating data frames takes 19.35s
Filling data types and values takes 5.92s
Processing a file takes 19.21s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_008/trajectory/01_traj_2295.5.json.gz
Loading a file takes 57.25s
Creating data frames takes 23.06s
Filling data types and values takes 5.80s
Processing a file takes 18.19s
Concatenating time series takes 0.32s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_008/trajectory/02_traj_3228.0.json.gz
Loading a file takes 60.78s
Creating data frames takes 25.72s
Filling data types and values takes 5.82s
Processing a file takes 18.39s
Concatenating time series takes 0.42s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_008/trajectory/03_traj_4171.5.json.gz
Loading a file takes 57.89s
Creating data frames takes 23.79s
Filling data types and values takes 5.75s
Processing a file takes 18.07s
Concatenating time series takes 0.48s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_008/trajectory/04_traj_5106.0.json.gz
Loading a file takes 57.12s
Creating data frames takes 22.86s
Filling data types and values takes 5.70s
Processing a file takes 19.01s
Concatenating time series takes 0.57s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_008/trajectory/05_traj_6030.0.json.gz
Loading a file takes 56.00s
Creating data frames takes 25.55s
Filling data types and values takes 5.58s
Processing a file takes 30.30s
Concatenating time series takes 0.47s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_008/trajectory/06_traj_6949.0.json.gz
Loading a file takes 61.96s
Creating data frames takes 31.75s
Filling data types and values takes 6.12s
Processing a file takes 18.32s
Concatenating time series takes 0.65s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_008/trajectory/07_traj_end.json.gz
Loading a file takes 27.69s
Creating data frames takes 11.09s
Filling data types and values takes 2.60s
Processing a file takes 14.45s
Concatenating time series takes 0.67s
Saving all the section time series takes 69.50s
Saving all the junction time series takes 9.60s
Saving network entrance and exit takes 0.07s
Aggregating the raw statistics to different intervals...
0%| | 0/1517 [00:00<?, ?it/s]
0%| | 1/1517 [00:00<09:34, 2.64it/s]
1%|β | 19/1517 [00:00<00:29, 50.44it/s]
4%|β | 56/1517 [00:00<00:10, 138.92it/s]
5%|β | 83/1517 [00:00<00:08, 169.80it/s]
8%|β | 127/1517 [00:00<00:05, 242.11it/s]
10%|β | 157/1517 [00:00<00:05, 252.04it/s]
12%|ββ | 186/1517 [00:01<00:05, 256.97it/s]
14%|ββ | 218/1517 [00:01<00:04, 271.79it/s]
17%|ββ | 251/1517 [00:01<00:04, 282.44it/s]
19%|ββ | 282/1517 [00:01<00:04, 286.84it/s]
21%|ββ | 312/1517 [00:01<00:04, 283.70it/s]
23%|βββ | 342/1517 [00:02<00:12, 97.82it/s]
25%|βββ | 386/1517 [00:02<00:08, 139.20it/s]
27%|βββ | 414/1517 [00:02<00:06, 159.72it/s]
29%|βββ | 442/1517 [00:02<00:06, 178.57it/s]
31%|βββ | 470/1517 [00:02<00:05, 191.45it/s]
33%|ββββ | 497/1517 [00:02<00:05, 193.00it/s]
34%|ββββ | 522/1517 [00:02<00:05, 191.22it/s]
36%|ββββ | 545/1517 [00:03<00:05, 181.60it/s]
37%|ββββ | 567/1517 [00:03<00:05, 188.62it/s]
39%|ββββ | 590/1517 [00:03<00:04, 196.92it/s]
40%|ββββ | 612/1517 [00:03<00:04, 186.33it/s]
42%|βββββ | 637/1517 [00:03<00:04, 198.69it/s]
44%|βββββ | 662/1517 [00:03<00:04, 210.36it/s]
46%|βββββ | 692/1517 [00:03<00:03, 232.81it/s]
47%|βββββ | 717/1517 [00:03<00:03, 228.66it/s]
49%|βββββ | 741/1517 [00:03<00:03, 227.53it/s]
50%|βββββ | 765/1517 [00:04<00:03, 222.24it/s]
52%|ββββββ | 788/1517 [00:04<00:03, 222.20it/s]
54%|ββββββ | 813/1517 [00:04<00:03, 228.41it/s]
55%|ββββββ | 841/1517 [00:04<00:02, 241.49it/s]
57%|ββββββ | 869/1517 [00:04<00:02, 251.44it/s]
59%|ββββββ | 896/1517 [00:04<00:02, 249.04it/s]
61%|ββββββ | 922/1517 [00:04<00:02, 248.39it/s]
63%|βββββββ | 950/1517 [00:04<00:02, 255.95it/s]
65%|βββββββ | 980/1517 [00:04<00:02, 266.01it/s]
66%|βββββββ | 1007/1517 [00:05<00:01, 257.71it/s]
68%|βββββββ | 1035/1517 [00:05<00:01, 257.20it/s]
70%|βββββββ | 1061/1517 [00:05<00:01, 256.27it/s]
72%|ββββββββ | 1091/1517 [00:05<00:01, 264.75it/s]
74%|ββββββββ | 1123/1517 [00:05<00:01, 274.01it/s]
76%|ββββββββ | 1156/1517 [00:05<00:01, 284.02it/s]
78%|ββββββββ | 1190/1517 [00:05<00:01, 298.06it/s]
80%|ββββββββ | 1220/1517 [00:05<00:01, 288.66it/s]
82%|βββββββββ | 1249/1517 [00:05<00:00, 285.71it/s]
85%|βββββββββ | 1284/1517 [00:05<00:00, 300.96it/s]
87%|βββββββββ | 1316/1517 [00:06<00:00, 296.75it/s]
89%|βββββββββ | 1346/1517 [00:06<00:00, 252.45it/s]
91%|βββββββββ | 1373/1517 [00:07<00:01, 91.04it/s]
92%|ββββββββββ| 1393/1517 [00:07<00:01, 101.29it/s]
94%|ββββββββββ| 1428/1517 [00:07<00:00, 135.47it/s]
96%|ββββββββββ| 1452/1517 [00:07<00:00, 151.90it/s]
97%|ββββββββββ| 1477/1517 [00:07<00:00, 170.05it/s]
99%|ββββββββββ| 1504/1517 [00:07<00:00, 190.97it/s]
100%|ββββββββββ| 1517/1517 [00:07<00:00, 200.03it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_008/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...
|