CoolFace
Datasetpublic

Greatriver/SimBarca

πŸš₯ SimBarca: Simulated Barcelona Traffic This is the dataset accompanying https://github.com/Weijiang-Xiong/OpenSkyTraffic πŸ“š Publications and Citation Weijiang Xiong, Robert Fonod, Alexandre Alahi and Nikolas Geroliminis, "Multi-Source Urban Traffic Flow Forecasting With Drone and Loop Detector Data," in IEEE Transactions on Intelligent Transportation Systems. [Paper] [Preprint] [Exp. Config] Weijiang Xiong, Robert Fonod and Nikolas Geroliminis, "Unveiling… See the full description on the dataset page: https://huggingface.co/datasets/Greatriver/SimBarca.

sourceHugging Facemitupdated 5mo agoView on Hugging Face
0likes4.2kdownloads
processing_log.log85 linesDownload Raw Back to session_031
1INFO: Pandarallel will run on 8 workers.2INFO: Pandarallel will use Memory file system to transfer data between the main process and workers.3 4 Selecting 5.0% vehicles from 130963 vehicles5Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/00_traj_1316.5.json.gz6Loading a file takes 52.37s7Creating data frames takes 22.79s8Filling data types and values takes 5.78s9 10 Processing a file takes 18.00s11Concatenating time series takes 0.50s12Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/01_traj_2135.5.json.gz13Loading a file takes 56.21s14Creating data frames takes 22.28s15Filling data types and values takes 5.65s16 17 Processing a file takes 17.62s18Concatenating time series takes 0.25s19Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/02_traj_2924.0.json.gz20Loading a file takes 55.35s21Creating data frames takes 20.52s22Filling data types and values takes 5.68s23 24 Processing a file takes 17.53s25Concatenating time series takes 0.32s26Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/03_traj_3696.5.json.gz27Loading a file takes 52.62s28Creating data frames takes 26.44s29Filling data types and values takes 5.69s30 31 Processing a file takes 18.17s32Concatenating time series takes 0.32s33Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/04_traj_4452.0.json.gz34Loading a file takes 55.78s35Creating data frames takes 23.57s36Filling data types and values takes 5.71s37 38 Processing a file takes 18.55s39Concatenating time series takes 0.51s40Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/05_traj_5182.5.json.gz41Loading a file takes 57.24s42Creating data frames takes 29.58s43Filling data types and values takes 5.89s44 45 Processing a file takes 28.50s46Concatenating time series takes 0.63s47Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/06_traj_5929.0.json.gz48Loading a file takes 70.18s49Creating data frames takes 27.10s50Filling data types and values takes 5.58s51 52 Processing a file takes 18.80s53Concatenating time series takes 0.78s54Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/07_traj_6676.5.json.gz55Loading a file takes 54.71s56Creating data frames takes 19.74s57Filling data types and values takes 5.50s58 59 Processing a file takes 18.00s60Concatenating time series takes 0.63s61Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/08_traj_7617.5.json.gz62Loading a file takes 52.39s63Creating data frames takes 20.13s64Filling data types and values takes 5.71s65 66 Processing a file takes 20.17s67Concatenating time series takes 0.68s68Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/09_traj_end.json.gz69Loading a file takes 5.14s70Creating data frames takes 0.97s71Filling data types and values takes 0.14s72 73 Processing a file takes 7.23s74Concatenating time series takes 0.28s75Saving all the section time series takes 84.33s76Saving all the junction time series takes 12.24s77Saving network entrance and exit takes 0.10s78Aggregating the raw statistics to different intervals...79
  0%|          | 0/1517 [00:00<?, ?it/s]
  0%|          | 1/1517 [00:00<12:21,  2.05it/s]
  0%|          | 4/1517 [00:01<09:58,  2.53it/s]
 19%|β–ˆβ–Š        | 281/1517 [00:02<00:08, 143.55it/s]
 20%|β–ˆβ–ˆ        | 309/1517 [00:02<00:07, 151.80it/s]
 23%|β–ˆβ–ˆβ–Ž       | 346/1517 [00:02<00:06, 170.70it/s]
 26%|β–ˆβ–ˆβ–Œ       | 387/1517 [00:02<00:05, 196.94it/s]
 28%|β–ˆβ–ˆβ–Š       | 418/1517 [00:02<00:05, 206.97it/s]
 30%|β–ˆβ–ˆβ–‰       | 449/1517 [00:03<00:04, 223.08it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 479/1517 [00:03<00:04, 216.29it/s]
 33%|β–ˆβ–ˆβ–ˆβ–Ž      | 506/1517 [00:03<00:04, 213.16it/s]
 35%|β–ˆβ–ˆβ–ˆβ–Œ      | 531/1517 [00:03<00:04, 206.89it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 554/1517 [00:03<00:04, 195.87it/s]
 38%|β–ˆβ–ˆβ–ˆβ–Š      | 575/1517 [00:03<00:04, 190.13it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 595/1517 [00:03<00:04, 190.47it/s]
 41%|β–ˆβ–ˆβ–ˆβ–ˆ      | 615/1517 [00:03<00:04, 189.91it/s]
 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 645/1517 [00:04<00:03, 218.36it/s]
 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 673/1517 [00:04<00:03, 229.78it/s]
 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 697/1517 [00:04<00:03, 211.72it/s]
 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹     | 719/1517 [00:04<00:03, 208.40it/s]
 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 741/1517 [00:04<00:03, 205.63it/s]
 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 762/1517 [00:04<00:03, 202.56it/s]
 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 783/1517 [00:04<00:03, 198.93it/s]
 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 810/1517 [00:04<00:03, 215.46it/s]
 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 832/1517 [00:04<00:03, 212.64it/s]
 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 854/1517 [00:05<00:03, 211.01it/s]
 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 879/1517 [00:05<00:02, 220.39it/s]
 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 902/1517 [00:05<00:02, 213.64it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 924/1517 [00:05<00:02, 211.45it/s]
 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 950/1517 [00:05<00:02, 224.59it/s]
 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 975/1517 [00:05<00:02, 231.48it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 1001/1517 [00:05<00:02, 239.70it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1026/1517 [00:05<00:02, 214.20it/s]
 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1050/1517 [00:05<00:02, 217.10it/s]
 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 1076/1517 [00:06<00:01, 227.87it/s]
 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 1100/1517 [00:06<00:01, 226.02it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1123/1517 [00:06<00:01, 220.08it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 1152/1517 [00:06<00:01, 237.12it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 1180/1517 [00:06<00:01, 247.76it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 1205/1517 [00:06<00:01, 239.84it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1239/1517 [00:06<00:01, 267.69it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1267/1517 [00:06<00:00, 265.98it/s]
 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1296/1517 [00:06<00:00, 272.80it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1324/1517 [00:07<00:00, 259.10it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1351/1517 [00:07<00:02, 78.96it/s] 
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1371/1517 [00:08<00:01, 91.67it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1396/1517 [00:08<00:01, 112.61it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1417/1517 [00:08<00:00, 126.40it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1443/1517 [00:08<00:00, 150.49it/s]
 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1466/1517 [00:08<00:00, 165.12it/s]
 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1488/1517 [00:08<00:00, 175.33it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:08<00:00, 176.03it/s]80Constructing time series for each modality ...81Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/timeseries/agg_timeseries.pkl82Extracting samples from time series ...83number of samples: 2084Packing the samples into numpy arrays ...85