Datasetpublic

Greatriver/SimBarca

🚥 SimBarca: Simulated Barcelona Traffic This is the dataset accompanying https://github.com/Weijiang-Xiong/OpenSkyTraffic 📚 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

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rootsimulation_sessionssession_018processing_log.log

processing_log.log71 linesDownload Raw Back to session_018

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 110499 vehicles5Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/00_traj_1390.0.json.gz6Loading a file takes 48.90s7Creating data frames takes 22.05s8Filling data types and values takes 6.52s9 10 Processing a file takes 18.72s11Concatenating time series takes 0.41s12Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/01_traj_2407.5.json.gz13Loading a file takes 55.28s14Creating data frames takes 26.67s15Filling data types and values takes 5.53s16 17 Processing a file takes 17.90s18Concatenating time series takes 0.29s19Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/02_traj_3413.0.json.gz20Loading a file takes 53.80s21Creating data frames takes 27.55s22Filling data types and values takes 6.25s23 24 Processing a file takes 18.89s25Concatenating time series takes 0.39s26Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/03_traj_4411.5.json.gz27Loading a file takes 51.35s28Creating data frames takes 25.11s29Filling data types and values takes 5.68s30 31 Processing a file takes 18.32s32Concatenating time series takes 0.53s33Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/04_traj_5374.5.json.gz34Loading a file takes 57.63s35Creating data frames takes 22.34s36Filling data types and values takes 5.66s37 38 Processing a file takes 19.28s39Concatenating time series takes 0.43s40Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/05_traj_6319.5.json.gz41Loading a file takes 54.72s42Creating data frames takes 23.56s43Filling data types and values takes 5.64s44 45 Processing a file takes 28.22s46Concatenating time series takes 0.45s47Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/06_traj_7229.5.json.gz48Loading a file takes 59.45s49Creating data frames takes 29.99s50Filling data types and values takes 5.49s51 52 Processing a file takes 18.84s53Concatenating time series takes 0.79s54Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/07_traj_end.json.gz55Loading a file takes 21.27s56Creating data frames takes 9.09s57Filling data types and values takes 2.48s58 59 Processing a file takes 15.98s60Concatenating time series takes 0.53s61Saving all the section time series takes 72.34s62Saving all the junction time series takes 9.93s63Saving network entrance and exit takes 0.08s64Aggregating the raw statistics to different intervals...65
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100%|██████████| 1522/1522 [00:08<00:00, 181.10it/s]66Constructing time series for each modality ...67Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/timeseries/agg_timeseries.pkl68Extracting samples from time series ...69number of samples: 2070Packing the samples into numpy arrays ...71