| Presentation | 2022-06-29 Acceleration of data assimilation for Large-scale human flow data Miyazaki Kazuya, Kiyama Masato, Amagasaki Motoki, Okamoto Toshiaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Data assimilation has been attracting attention as the importance of understanding human flow has been emphasized in the wake of accidents at events. Data assimilation compares simulation results with observed data and adjusts parameters in the simulation. However, pedestrian simulation has a problem that the simulation takes a long time when the number of agents increases. In order to reduce the simulation time, we implemented the simulation in C and used Numpy, a matrix computation library, to speed up the simulation and improve the model. In this paper, we use the Mojiko Fireworks Festival data set to speed up the data assimilation process. In the evaluation, we compared the execution time and assimilation accuracy with simulators in previous studies. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Pedestrian Simulation / Social Force Model / Generation Algorithm / Data Assimilation |
| Paper # | NC2022-25,IBISML2022-25 |
| Date of Issue | 2022-06-20 (NC, IBISML) |
| Conference Information | |
| Committee | NC / IBISML / IPSJ-BIO / IPSJ-MPS |
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| Conference Date | 2022/6/27(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroshi Yamakawa(Univ of Tokyo) / Masashi Sugiyama(Univ. of Tokyo) |
| Vice Chair | Hirokazu Tanaka(Tokyo City Univ.) / Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Hirokazu Tanaka(NTT) / Toshihiro Kamishima(NICT) / Koji Tsuda(NTT) / (Hokkaido Univ.) |
| Assistant | Yoshimasa Tawatsuji(Waseda Univ.) / Tomoki Kurikawa(KMU) / Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Bioinformatics and Genomics / Special Interest Group on Mathematical Modeling and Problem Solving |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Acceleration of data assimilation for Large-scale human flow data |
| Sub Title (in English) | |
| Keyword(1) | Pedestrian Simulation |
| Keyword(2) | Social Force Model |
| Keyword(3) | Generation Algorithm |
| Keyword(4) | Data Assimilation |
| 1st Author's Name | Miyazaki Kazuya |
| 1st Author's Affiliation | Kumamoto University(Kumamoto Univ) |
| 2nd Author's Name | Kiyama Masato |
| 2nd Author's Affiliation | Kumamoto University(Kumamoto Univ) |
| 3rd Author's Name | Amagasaki Motoki |
| 3rd Author's Affiliation | Kumamoto University(Kumamoto Univ) |
| 4th Author's Name | Okamoto Toshiaki |
| 4th Author's Affiliation | Kumamoto University(Kumamoto Univ) |
| Date | 2022-06-29 |
| Paper # | NC2022-25,IBISML2022-25 |
| Volume (vol) | vol.122 |
| Number (no) | NC-89,IBISML-90 |
| Page | pp.pp.178-183(NC), pp.178-183(IBISML), |
| #Pages | 6 |
| Date of Issue | 2022-06-20 (NC, IBISML) |