| Presentation | 2018-02-15 Stochastic Discrete Event Simulation Environment for Autonomous Cart Fleet for Artificial Intelligent Training and Reinforcement Learning Algorithms Naohisa Hashimoto, Ali Boyali, Shin Kato, Takao Otsuka, Kazuhisa Mizushima, Manabu Omae, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this report we give details of a Discrete Event Simulation (DES) framework coded in Python environment for simulation and analysis of a customized Personal Rapid Transport (PRT) with passenger behavior. The prior analysis of the system is a must before deployment of the autonomous PRT cars (carts) to make decision of initial investment, number of carts required and to design supervisory control algorithms that reduces the defined cost functional in the optimization. The simulation program coded in consideration of training Artificial Intelligent (AI) agents by Deep Reinforcement Learning methods similar to OpenAI Gym environment. The basic requirements for modeling of discreet stochastic simulation and analyses are summarized in the report. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Rapid Transit System SimulationReinforcement Learning based Supervisory Control |
| Paper # | ITS2017-66,IE2017-98 |
| Date of Issue | 2018-02-08 (ITS, IE) |
| Conference Information | |
| Committee | ITS / IE / ITE-MMS / ITE-HI / ITE-ME / ITE-AIT |
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| Conference Date | 2018/2/15(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image Processing, etc. |
| Chair | Takayoshi Yokota(Tottori Univ.) / Takayuki Hamamoto(Tokyo Univ. of Science) / Norihiko Ishii(NHK) / Masayuki Sato(Univ. of Kitakyushu) / Miki Haseyama(Hokkaido Univ.) / Nobuhiko Mukai(Tokyo Cisy Univ.) |
| Vice Chair | Masahiro Fujii(Utsunomiya Univ.) / Tomotaka Wada(Kansai Univ.) / Kazuya Kodama(NII) / Hideaki Kimata(NTT) / / / Norio Tagawa(Tokyo Metropolitan Univ.) / Hisaki Nate(Tokyo Polytechnic Univ.) |
| Secretary | Masahiro Fujii(Meiji Univ.) / Tomotaka Wada(Saitama Univ.) / Kazuya Kodama(Nagoya Univ.) / Hideaki Kimata(KDDI Research) / (NHK) / (NTT) / Norio Tagawa(NHK) / Hisaki Nate(NHK) |
| Assistant | Msataka Imao(ME) / Yanlei Gu(Univ. of Tokyo) / Kenshi Saho(Toyama Prefectural Univ.) / Kouichiro Hashiura(Akita Prefectural Univ.) / Yasutaka Matsuo(NHK) / Kazuya Hayase(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Intelligent Transport Systems Technology / Technical Committee on Image Engineering / Technical Group on Multi-media Storage / Technical Group on Human Inormation / Technical Group on Media Engineering / Technical Group on Artistic Image Technology |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Stochastic Discrete Event Simulation Environment for Autonomous Cart Fleet for Artificial Intelligent Training and Reinforcement Learning Algorithms |
| Sub Title (in English) | |
| Keyword(1) | Rapid Transit System SimulationReinforcement Learning based Supervisory Control |
| 1st Author's Name | Naohisa Hashimoto |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| 2nd Author's Name | Ali Boyali |
| 2nd Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| 3rd Author's Name | Shin Kato |
| 3rd Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| 4th Author's Name | Takao Otsuka |
| 4th Author's Affiliation | Keio University(Keio Univ) |
| 5th Author's Name | Kazuhisa Mizushima |
| 5th Author's Affiliation | Keio University(Keio Univ) |
| 6th Author's Name | Manabu Omae |
| 6th Author's Affiliation | Keio University(Keio Univ) |
| Date | 2018-02-15 |
| Paper # | ITS2017-66,IE2017-98 |
| Volume (vol) | vol.117 |
| Number (no) | ITS-431,IE-432 |
| Page | pp.pp.29-33(ITS), pp.29-33(IE), |
| #Pages | 5 |
| Date of Issue | 2018-02-08 (ITS, IE) |